dqn-pytorch | Topic | Ecosyste.ms: Repos

Lizhi-sjtu/DRL-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Language: Python - Size: 3.37 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 656 - Forks: 124

cpnota/autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

Language: Python - Size: 6.24 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 652 - Forks: 72

BY571/DQN-Atari-Agents

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 120 - Forks: 14

VachanVY/Reinforcement-Learning

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

Language: Python - Size: 15.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 81 - Forks: 3

aksub99/MolDQN-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Language: Python - Size: 3.05 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 78 - Forks: 26

philtabor/ProtoRL

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Language: Python - Size: 200 KB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 67 - Forks: 5

KaleabTessera/DQN-Atari

Deep Q-Learning (DQN) implementation for Atari pong.

Language: Python - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 9

josiahls/fast-reinforcement-learning

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Language: Jupyter Notebook - Size: 87.6 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 38 - Forks: 5

rushhan/Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch

Language: Python - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 15

blavad/marl

Multi-agent reinforcement learning framework

Language: Python - Size: 6.39 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 8

laszukdawid/ai-traineree

PyTorch agents and tools for (Deep) Reinforcement Learning

Language: Python - Size: 1.23 MB - Last synced at: 20 days ago - Pushed at: 4 months ago - Stars: 25 - Forks: 6

QasimWani/RL-Unity

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

Language: Jupyter Notebook - Size: 61.2 MB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 5

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

Language: Jupyter Notebook - Size: 2.82 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 10

makaveli10/reinforcementLearning

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

Language: Jupyter Notebook - Size: 6.84 MB - Last synced at: 30 days ago - Pushed at: almost 5 years ago - Stars: 24 - Forks: 4

batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent

This code is the result of the collaboration of RL Turkey team.

Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 5

RichardFindlay/battery-optimisation-with-drl

Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a noisy network dqn.

Language: Python - Size: 91.5 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 6

iewug/Atari-DQN

PyTorch implementation of DQN, DDQN and Dueling DQN to solve Atari games including PongNoFrameskip-v4, BreakoutNoFrameskip-v4 and BoxingNoFrameskip-v4

Language: Python - Size: 1.99 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 2

moabitcoin/cherry-pytorch

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

Language: Python - Size: 356 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 1

french-ai/reinforcement

Reinforcement learning modular with pytorch

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 1

rvdweerd/simmodel

Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs

Language: Python - Size: 364 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

davide97l/Rainbow

Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.

Language: Python - Size: 90.6 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 2

mayankiitg/TrafficLight-RL

Control Traffic lights intelligently with Reinforcement Learning!

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 5

Spinkoo/Matlab2TorchRL

This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.

Language: MATLAB - Size: 774 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 8 - Forks: 1

jk96491/Unity-ML-Agents

Unity 강화학습 알고리즘 및 게임 환경을 제공합니다.

Language: ASP.NET - Size: 33.8 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1

Desny/traffic_light_rl

Integrate AutoRL into DQN to implement a single traffic signal control system.

Language: Python - Size: 680 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

kishorkukreja/SupplyChainv0_gym

Reinforcement Learning for Optimal inventory policy

Language: Python - Size: 4.01 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 3

Jack-Sandberg/DQN

Implementation of DQN, Double DQN and Dueling DQN using PyTorch.

Language: Python - Size: 86.7 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

DPS0340/DQNDemo

Deep Q-Learning from Demonstrations implementation using Pytorch & OpenAI Gym

Language: Python - Size: 8.6 MB - Last synced at: 9 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

foersterrobert/DQpoNg

Use the movements of your thumb to play Pong against a pre-trained Double-DQN-Agent. I used Google-Colab for training the pyTorch model and created the Pong environment with Pygame.

Language: Jupyter Notebook - Size: 132 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 1

gxywy/pytorch-dqn

:beers: A simple implementation of dqn algorithm using pytorch

Language: Python - Size: 275 KB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2

EricLee8/CS489-ReinforcementLearning-Project

Project of Reinforcement Learning course

Language: Python - Size: 34.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

ShivankYadav/LunarLander-using-DQN

We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

Amirarsalan-sn/Lunar-Lander

Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN

Language: Python - Size: 16.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 0

sonnhfit/deepair

PyTorch implementations of Deep reinforcement learning algorithms.

Language: Python - Size: 669 KB - Last synced at: 28 days ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

dsinghnegi/atari_RL_agent

RL based agent for atari games

Language: Python - Size: 131 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

wegfawefgawefg/wegs-drl-baselines

Minimum viable reinforcement learning algorithms for your educational convenience.

Language: Python - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

ludiuz/SnakeQ

AI is learning to play snake. Using Reinforcement learning -> Deep Q learning (DQN). GUI is in pygame. Under MIT license.

Language: Python - Size: 317 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

ekorudiawan/DQN-robot-arm

Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher

Language: Python - Size: 947 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

anilsh/tracking_camsel

Intelligent Camera Selection Decisions for Target Tracking

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 4 - Forks: 0

jiaxiang-cheng/PyTorch-PDQN-for-Digital-Twin-ACS

PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.

Language: Python - Size: 8.07 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2

SandeepPadhi/AI_That_Plays_Snake

The project is a practical implementation of Deep QLearning built using pytorch and pygame.Here,the AI learns to play Snake..!!!

Language: Python - Size: 832 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

RishabhMalviya/dqn_experiments

Experimenting with PyTorch DQNs on various environments

Language: Python - Size: 46.2 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

jibinmathew69/PyTorch1.x-Tutorial

This is repository teaching PyTorch1.0.

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 5

Chaoukia/Reinforcement-Learning-course

A Reinforcement Learning course with classic examples of agents trained on gym environments.

Language: Python - Size: 1.69 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

dawan0111/ROS2-Reinforcement-Learning-Drive

This repository provides a customizable ROS2 environment for training multiple 2D drive cars using Deep Q-Network (DQN). Currently, agents learn collision-free navigation by avoiding obstacles, but the environment is designed to allow easy modification to train for various objectives in the future.

Language: C++ - Size: 173 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

pranshurastogi29/BTC_mining_fees_optimization_RL

In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain

Language: Jupyter Notebook - Size: 471 KB - Last synced at: 13 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

francescotorregrossa/deep-reinforcement-learning-nanodegree

Exercises and projects from Udacity's Nanodegree

Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

manjavacas/dqn-from-scratch

DQN implementation from scratch.

Language: Python - Size: 13.7 KB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

me0w00f/red-snake-ai

🐍 Red Snake AI - A DQN-based snake game with customizable skins. Train an AI to play snake or play it yourself! Features multiple themes (Classic Red/Gold/Neon), wandb integration, and pixel graphics. Built with PyTorch & Pygame.

Language: Python - Size: 659 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

Manohara-Ai/Snake-Q-Learning

An experimental Snake game where a Deep Q-Network (DQN) agent learns to navigate the environment, avoid obstacles, and find food using reinforcement learning techniques.

Language: Python - Size: 590 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

therealcyberlord/DQN-PacMan

PyTorch Implementation of DQN to play Atari games

Language: Python - Size: 5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

JLMadsen/TetrisAI

Tetris AI: Genetic algorithm, Imitation, & Deep Q-Learning. TDAT3025, NTNU.

Language: Python - Size: 49.2 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

bmaxdk/OpenAI-Gym-LunarLander-v2

Deep Q-Learning to solve OpenAI Gym's LunarLander environment.

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

kartik2309/RLPack

Implementation of RL Algorithms with PyTorch.

Language: Python - Size: 9.66 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Sardhendu/DeepRL

Deep Reinforcement Learning Projects

Language: Jupyter Notebook - Size: 78 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

EliaFantini/Q-NIM-ai-learns-to-play-Nim-using-standard-and-deep-Q-Learning

Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

allwinlucious/FlappyBird_DQN

AI learns to play Flappy Bird using Deep Q Learning

Language: Python - Size: 302 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

kishorkukreja/SupplyChainReinforcement

Supply Chain Reinforcement Learning

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

Arancew/simple_forcement_Learning

基于pytoch的俩个简单的强化学习案例

Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

mhyrzt/D2QN

Implementation of Double DQN with Pytorch

Language: Python - Size: 131 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

nicoleorzan/emergent-communication

Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ShivankYadav/BananaPicker-Navigation

We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.

Language: Jupyter Notebook - Size: 5.53 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

TTitcombe/DQN

PyTorch implementation of Deep Q Learning

Language: Python - Size: 24.2 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

beltromatti/cartpole-drl

A Deep Q-Network (DQN) agent trained to play CartPole using Deep Reinforcement Learning. A didactic project showcasing DRL concepts and implementation.

Language: Python - Size: 21.5 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

dhrumilp15/madelines-policy-climb

Climbing Mt. Celeste!!

Language: Python - Size: 95.7 KB - Last synced at: 8 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

Abhigyan126/Snake-DQN

A PyGame implementation of Snake game trained using Deep Q-Learning Network (DQN), combining classic gameplay with modern reinforcement learning.

Language: Python - Size: 184 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

DKay7/DDQN_Snake_game

DDQN algorithm playing snake game

Language: Python - Size: 4.67 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Lin-TzuLing/NYCU-DLP-2023

Deep Learning & Labs Course, NYCU, 2023

Language: Jupyter Notebook - Size: 82.3 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Achronus/rl_atari_games

An exploration of the effects of Intrinsic Motivation methods on RL algorithms using Atari games.

Language: Python - Size: 40.8 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

ShivamGupta92/Reinforcement_learning_SnakeGameAI

Deep Q-Networks (DQN) to train an AI agent to play the Snake game. The AI controls the snake, making decisions in real-time to maximize its score while avoiding collisions. The agent learns to improve its performance by playing multiple games and adjusting its strategy based on rewards and penalties.

Language: Python - Size: 1.02 MB - Last synced at: 25 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

bantu-4879/Atari_Games-Deep_Reinforcement_Learning

This repository hosts Jupyter notebooks showcasing the training of Atari games using a variety of Deep Reinforcement Learning (RL) algorithms such as Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Deep Q-Networks (DQN), Advantage Actor-Critic (A2C), and more.

Language: Jupyter Notebook - Size: 364 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SkullkyAI/MARIO-DDQN

Implementación de un agente de aprendizaje por refuerzo con Redes Neuronales Profundas (DQN) para jugar Super Mario, con hiperparámetros personalizables y características como buffer de repetición y política epsilon-greedy.

Language: Jupyter Notebook - Size: 154 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

HariKrishnan06082k/RL_DQN_Planar_Pushing_ABB

Implementation of DQN Network in ABB YuMi Manipulator to do planar pushing under external perturbance.

Language: Python - Size: 766 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

hutanmihai/reinforcement-learning-skiing

⛷ DQN and DDQN algorithms for OpenAI Gym Skiing environment 🎮

Language: Python - Size: 20.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

KianoushAmirpour/Traffic-signal-control-with-Reinforcement-Learning

Using Deep Q-Network agent to optimize a traffic signal at a single intersection

Language: Python - Size: 89.8 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ChristoffelDoorman/network-rewiring-rl

Code for article "Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning" (LoG 2022)

Language: Python - Size: 24.3 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2

Dimweaker/FlappyDQN

Training AI agent to play flappy bird with DQN.

Language: Python - Size: 5.88 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Kreyparion/Harvest-Competition-Agents

My solution to the Harvest Competition

Language: Python - Size: 154 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

alpayariyak/Atari-Advanced-DQN

Using a Deep Q Network(DQN) to play Atari Breakout

Language: Python - Size: 216 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

RegiaYoung/RL_DQN

Mid-term Assignment : Breakout game——SYSU RL Course.

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ggarrofe/RL_Tabular_Methods

Revisiting tabular and deep reinforcement learning methods.

Language: Jupyter Notebook - Size: 3.98 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

HeChengHui/ESP3201_Project

Project done in Y4S1 (Late 2021) - Sim-to-Real Transfer using Webots and Anki Vector Robot

Language: Python - Size: 2.31 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

SalvatoreCognetta/DQN-NonMarkovian

Project for Reasoning Agent course, Rome University of Sapienza

Language: TeX - Size: 138 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

ken-power/DRLND_Navigation

Use Deep Reinforcement Learning to train an agent to navigate in a large, square world and collect bananas.

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

yashk2000/Gridworld-RL

Using deep Q learning to play Gridworld

Language: Jupyter Notebook - Size: 226 KB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

tkcoding/DeepRL

Implementing deep reinforcement learning algorithm for banana collector and other upcoming project. Using different technique such as Deep Q-network (DQN) and Double Deep Quick Network (DDQN)

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

achraf-azize/2048-DQN

Training a double duel Q-learning agent to achieve the 2048 tile in the Puzzle Game 2048, within 3 hours constraint using google Colab GPU.

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

Sushant-ctrl/DQN-Algorithms

This Repository has the Implementations of variants of the Q Learning Algorithms

Size: 206 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

luizcartolano2/reinforcement-learning-dqn-cart-pole

Use PyTorch to train a Deep Q Learning (DQN) agent on the CartPole-v0 task from the OpenAI Gym.

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

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

lyh983012/GymRL_Project

DQN algorithm validation with gym/Mario bro

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

abbasmsh1/TurboFighter

AI bot that plays Street Fighter II Turbo using Python and the BizHawk emulator.

Language: Lua - Size: 85.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

nonkloq/mazeharvest

A Grid Based RL Environment & Implementaions of few Deep-RL Algorithms.

Language: Python - Size: 32.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

psimatis/Mancala-AI

The Mancala board game with several AI bots

Language: Python - Size: 2.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Samrichier/Stockfish-DQN-Agent

♟️ Optimized Chess RL Trainer using DQN vs Stockfish. Built with PyTorch and python-chess, it learns using per-move rewards from Stockfish evaluations. Implements Prioritized Experience Replay (PER) and parallel CPU/GPU execution for faster training. The agent dynamically adjusts Stockfish skill level based on performance.

Size: 1000 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

raselmahmud-coder/Deep-Q-Network-DQN-Variants-Analysis-for-Optimization

This repository contains PyTorch implementations of three DQN variants: Classic DQN, Double DQN, and Dueling DQN. These implementations are designed for OpenAI Gymnasium environments, demonstrating the evolution and improvements in DQN architectures.

Language: Python - Size: 6.94 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

arashsajjadi/Stockfish-DQN-Agent

♟️ Optimized Chess RL Trainer using DQN vs Stockfish. Built with PyTorch and python-chess, it learns using per-move rewards from Stockfish evaluations. Implements Prioritized Experience Replay (PER) and parallel CPU/GPU execution for faster training. The agent dynamically adjusts Stockfish skill level based on performance.

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

Topic: "dqn-pytorch"