ali-izhar/traffic-signal-rl

RL system for adaptive traffic signal control to optimize urban traffic flow

Language: Python - Size: 8.64 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

JuliaReinforcementLearning/ReinforcementLearning.jl

A reinforcement learning package for Julia

Language: Julia - Size: 19.4 MB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 619 - Forks: 108

beltromatti/deep-reinforcement-learning

A modular, high-level Python package for Deep Reinforcement Learning, designed to simplify the implementation and study of DRL algorithms, offering an accessible and extensible framework for students, researchers, and developers.

Language: Python - Size: 831 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

thomashicken/lunar

This project implements a Q-learning agent with experience replay and a neural network function approximator to solve the LunarLander-v2 environment.

Language: Python - Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

MorvanZhou/Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Language: Python - Size: 428 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 9,166 - Forks: 5,024

MishaLaskin/curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Language: Python - Size: 2.16 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 587 - Forks: 87

qfettes/DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Language: Jupyter Notebook - Size: 152 MB - Last synced at: 10 days ago - Pushed at: almost 4 years ago - Stars: 1,070 - Forks: 329

itsubaki/neu

Deep Learning framework for Go from scratch

Language: Go - Size: 14 MB - Last synced at: 3 days ago - Pushed at: 15 days ago - Stars: 8 - Forks: 1

BarraHarrison/DQN-Self-Driving-Car

Self-driving car simulation in Python using Deep Q-Network (DQN)

Language: Python - Size: 364 KB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

lokesh-c-das/intelligent-self-driving-car

High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm

Language: Python - Size: 12.5 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 0

vietnh1009/Flappy-bird-deep-Q-learning-pytorch

Deep Q-learning for playing flappy bird game

Language: Python - Size: 25.6 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 527 - Forks: 135

vietnh1009/Tetris-deep-Q-learning-pytorch

Deep Q-learning for playing tetris game

Language: Python - Size: 14 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 501 - Forks: 114

MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Language: Python - Size: 37.1 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 4,343 - Forks: 1,869

simoninithomas/Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Language: Jupyter Notebook - Size: 225 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 3,845 - Forks: 1,224

rlcode/reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

Language: Python - Size: 60.2 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 3,506 - Forks: 738

ma-nadeau/Trading-Deep-Q-Networks

Language: Python - Size: 12.7 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

pdoup/Q-Cobra

DQN Agent for Snake 🐍

Language: Python - Size: 199 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

gordicaleksa/pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Language: Python - Size: 13.1 MB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 154 - Forks: 33

zahramh99/ai-trading-agent

Agentic AI involves several key components. This is an AI Agent for trading.These agents typically use reinforcement learning (RL) methods to optimize their behaviour over time through interactions with an environment.

Language: Python - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ImanRHT/QECO

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

Language: Python - Size: 17.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 204 - Forks: 37

sudharsan13296/Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 847 - Forks: 325

ChenglongChen/pytorch-DRL

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Language: Python - Size: 254 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 565 - Forks: 106

chris-chris/pysc2-examples

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Language: Python - Size: 4.96 MB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 755 - Forks: 354

soheil-mp/Reinforcement-Learning-Algorithms

Step by Step Reinforcement Learning Tutorials.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 6

Cernewein/heating-RL-agent

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Language: Jupyter Notebook - Size: 49.9 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 77 - Forks: 13

MehdiShahbazi/DQN-Mountain-Car-Gymnasium

This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.

Language: Python - Size: 1020 KB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

MehdiShahbazi/DQN-Frozenlake-Gymnasium

This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.

Language: Python - Size: 1.32 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 2

MehdiShahbazi/DQN-Cliff-Walking-Gymnasium

This repo implements Deep Q-Network (DQN) for solving the Cliff Walking v0 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with the finest tuning.

Language: Python - Size: 2.88 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

SeeknnDestroy/DQN-CartPole

A Deep Q-Network (DQN) agent solving the CartPole-v1 environment from OpenAI's Gym. Demonstrates reinforcement learning for control tasks and serves as an educational resource for deep learning and reinforcement learning enthusiasts.

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

MishaLaskin/rad

RAD: Reinforcement Learning with Augmented Data

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 409 - Forks: 71

antonio-f/Deep_Q-Network

Deep Q-Network example from Udacity's Deep Reinforcement Learning Nanodegree.

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow

Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.

Language: Python - Size: 50.3 MB - Last synced at: 28 days ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 8

jalajthanaki/SpaceInvaders_gamingbot

Used DQN (Deep Q Network) in order to build the gaming bot

Language: Python - Size: 229 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2

accel-brain/accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Language: Python - Size: 98.3 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 314 - Forks: 92

yukezhu/tensorflow-reinforce 📦

Implementations of Reinforcement Learning Models in Tensorflow

Language: Python - Size: 39.1 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 483 - Forks: 135

AubinSeptier/gymnasium-agents

A set of reinforcement learning agents using the Gymnasium library. Includes Random, MTCS, DQN and light-AlphaZero Agents for Othello and Connect 4.

Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

thtrieu/essence

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Language: Python - Size: 19.4 MB - Last synced at: 3 days ago - Pushed at: about 5 years ago - Stars: 77 - Forks: 18

WilliamZhang20/Cart-Pole-DQN

A Deep-Q Network (DQN) agent trained to balance a cartpole in the Gymnasium simulation environment

Language: Python - Size: 651 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

SohelRana-aiub-Pro/Region-Proposal-Object-Detection-using-Computer-Vision-Algorithms

https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

jhu-lcsr/good_robot

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Language: Jupyter Notebook - Size: 85.1 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 112 - Forks: 28

fszewczyk/rocket-landing-rl

Custom OpenAI Gym for vertical rocket landing and Deep Q-Learning implementation.

Language: Python - Size: 2.49 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 3

misaghsoltani/DeepCubeAI

Learning Discrete World Models for Heuristic Search

Language: Python - Size: 16.6 MB - Last synced at: 27 days ago - Pushed at: 8 months ago - Stars: 5 - Forks: 1

data-intelligence-for-health-lab/RL4CAD

RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning

Language: Python - Size: 113 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

fangvv/UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 473 - Forks: 80

hoverslam/rl-lunar-lander

Solving OpenAI's "Lunar Lander" with Reinforcement Learning

Language: Python - Size: 16.8 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

BurakAhmet/Autonomous-Car-with-Deep-Q-Learning

Self driving car with Deep Q-Learning

Language: Python - Size: 5.91 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ngandng/rl_mtsp

RL-based for mTSP

Language: Python - Size: 615 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alok/rl_implementations

Language: Jupyter Notebook - Size: 792 KB - Last synced at: 6 days ago - Pushed at: almost 6 years ago - Stars: 43 - Forks: 5

neka-nat/distributed_rl

Pytorch implementation of distributed deep reinforcement learning

Language: Python - Size: 972 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 75 - Forks: 8

keon/deep-q-learning 📦

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Language: Python - Size: 1.77 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1,293 - Forks: 453

billy-enrizky/DeepRL-SpaceInvaders

This project implements a Deep Reinforcement Learning (DRL) agent to play the classic Atari game Space Invaders using the DQN (Deep Q-Network) algorithm. The project includes a Jupyter notebook (space_invaders.ipynb) that walks through the process of training and testing the agent.

Language: HTML - Size: 146 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

sdsubhajitdas/Rocket_Lander_Gym

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.

Language: Python - Size: 4.32 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 56 - Forks: 5

Cernewein/multi-building-RL

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 2

dd-jero/Multi-Lane-Autonomous-Driving-Based-on-Deep-Reinforcement-Learning-Considering-Obs-TrafficSig

심층강화학습기반 장애물과 신호등을 고려한 다차선 자율주행 연구

Language: ASP.NET - Size: 61.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cyoon1729/deep-Q-networks 📦

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 278 - Forks: 82

navjindervirdee/2048-deep-reinforcement-learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 212 - Forks: 54

neoyung/connect-4

A reinforcement learning agent trained without prior human knowledge

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 6

lmizner/ECE239_SignalsAndSystems

Course work from UCLA's ECE239 - Special Topics in Signals and Systems

Language: Jupyter Notebook - Size: 258 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

HosseinH24/BETDQNet

Pytorch implementation of BETDQNet (Bellman Error and TD trade-off Q-Network )

Language: Python - Size: 58.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

callmespring/RL-short-course

Reinforcement Learning Short Course

Language: Jupyter Notebook - Size: 95.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 53 - Forks: 18

harveybc/gym-fx

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Language: Python - Size: 21.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 204 - Forks: 51

kucharzyk-sebastian/aigym_dqn

Deep Q-Network agent implemented in Python capable of learning to land on the moon in MoonLander-v2 environment from AI Gym library

Language: Jupyter Notebook - Size: 8.93 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

jedrazb/rl-grid-world

Reinforcement learning agent which finds a path to the goal in a grid world. This exercise was done as a coursework for course C424 at Imperial College London.

Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

zubair-irshad/udacity_deep_rl

My solutions (with explanations) to the Udacity Deep Reinforcement Learning Nano Degree Program assignments, mini-projects and projects

Language: Jupyter Notebook - Size: 9.77 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 2

bhanuvikasr/Deep-RL-TORCS

Autonomous Navigation using Deep Reinforcement Learning

Language: Python - Size: 14.4 MB - Last synced at: 28 days ago - Pushed at: almost 8 years ago - Stars: 24 - Forks: 12

LokeshBorawar/AI

AI projects and some algorithms. If you are seeing this please take care of the path in the code

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AmirInt/reinforcement_living

Playing games using Reinforcement Learning. As part of the MITx course on machine learning with Python - from linear models to deep learning

Language: Python - Size: 361 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MahanVeisi8/RL_practices

Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️

Language: Jupyter Notebook - Size: 22 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 0

naivoder/DQN

Pytorch implementation of Deep Q Network (DQN) learning with vectorized environments

Language: Python - Size: 35.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

mvrahden/reinforce-js

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Language: TypeScript - Size: 169 KB - Last synced at: 2 days ago - Pushed at: almost 7 years ago - Stars: 31 - Forks: 7

KalyanKumarPichuka/drlnd_navigation

Deep reinforcement Learning Nanodegree - Navigation Project

Language: Python - Size: 1 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

fractal-solutions/cortex

Deep Q Network implementation for use with MQL5 (DLL)

Language: C++ - Size: 460 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

gift-exe/DQN

Attempting to implement a Deep-Q-Network for an RL agent in a custom environment

Language: Python - Size: 53.7 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

voaneves/colab-rl

Keras implementation of the latest Reinforcement Learning algorithms, ready to use in Google Colab.

Language: Jupyter Notebook - Size: 632 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

yashk2000/Gridworld-RL

Using deep Q learning to play Gridworld

Language: Jupyter Notebook - Size: 226 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

aydinnyunus/GuessThePopulation

Guess The Population of Turkey

Size: 1000 Bytes - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3

andythetechnerd03/KAN-It-Play-Flappy-Bird

Short experiment with Deep Q-Learning + KAN to play Flappy Bird.

Language: Python - Size: 19.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 0

MichaelBosello/self-driving-car

Testing DQN training directly in the real world through small-scale cars models.

Language: Python - Size: 107 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 3

dibyendu/Reinforcement-Learning

A playground for reinforcement learning algorithms

Language: Jupyter Notebook - Size: 75.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

samre12/deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

Language: Python - Size: 111 MB - Last synced at: 9 months ago - Pushed at: almost 7 years ago - Stars: 744 - Forks: 210

alexkalergis/Robot-writing-via-Reinforcement-Learning

• Machine Learning • Master Thesis • In this project we aim to create a virtual environment of a 2DOF robot learning handwriting via reinforcement learning.

Language: Python - Size: 28.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

karthikrajkumar/Deep-Q-Network-Tensorflow

Building a Deep Q Network with tensorflow and python

Language: Python - Size: 9.77 KB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

karthikrajkumar/Deep-Q-Network-Pytorch

Implementation of Vanilla DQN in Pytorch

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 1

nslyubaykin/relax_noisy_dqn_example

Example Noisy DQN implementation with ReLAx

Language: Jupyter Notebook - Size: 63.5 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nslyubaykin/relax_categorical_dqn_example

Example Categorical DQN implementation with ReLAx

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nslyubaykin/relax_dqn_example

Example DQN implementation with ReLAx

Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nslyubaykin/relax_double_dqn_example

Example Double DQN implementation with ReLAx

Language: Jupyter Notebook - Size: 18 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nslyubaykin/relax_dueling_dqn_example

Example Dueling DQN implementation with ReLAx

Language: Jupyter Notebook - Size: 45.8 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saminheydarian/DeepLearning_Course_2021

Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi

Language: Jupyter Notebook - Size: 104 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

bit-baker/DQN_DDQN

Value Based and policy gradient Algorithms Implementation on single and multi agent environments.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

IsaacPrice/Mario-DS-AI

A real-time Mario game-playing AI built on a custom Deep Q-Network.

Language: Python - Size: 131 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dd-jero/Autonomous-driving-research-based-deep-reinforcement-learning-considering-digital-twin

심층강화학습기반 디지털 트윈 환경에서의 자율주행 연구

Language: Python - Size: 192 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

prabhath-r/FDQN_RL

Flexible DQN framework for web game automation

Language: Python - Size: 24 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

rharish101/PongRL

RL-based agent for playing Atari Pong

Language: Python - Size: 547 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

hungtuchen/pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

Language: Python - Size: 1.27 MB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 382 - Forks: 109

j-pulliam/Deep_Q-Network

Implementation of Deep Q-Learning for the CartPole and MountainCar environments from OpenAI Gym in Keras.

Language: Python - Size: 138 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Scitator/rl-course-experiments

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 3 days ago - Pushed at: almost 8 years ago - Stars: 77 - Forks: 23

MZayed47/DDPG_Agent

Deep Deterministic Policy Gradient (DDPG) is a model-free off-policy algorithm for learning continuous actions. It is a reinforcement learning technique that combines ideas from DPG (Deterministic Policy Gradient) and DQN (Deep Q-Network). From DQN, it uses Experience Replay and Slow-learning target networks. From DPG, it incorporates Operating over continuous action spaces.

Language: Jupyter Notebook - Size: 7.86 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

mmalam3/IoTWarden-Deep-RL-based-Security-System

A Deep Q-Network based RL solution, namely IoTWarden, developed using TensorFlow, OpenAI Gym, and Python. Simulated a vulnerable IoT environment using Gym, where a defense agent optimally takes actions to block attack activities in real-time. Trained the RL model for 250 episodes, each containing 100 epochs.

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

JM-Kim-94/rl-pendulum

Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)

Language: Python - Size: 37.7 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 4