jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions

Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto

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VachanVY/Reinforcement-Learning

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

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shaheennabi/Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects

Reinforcement Learning (RL) 🤖! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. 🚀 Build smart agents, learn the math behind policies, and experiment with real-world applications! 🔥💡

Size: 27.3 KB - Last synced at: 23 days ago - Pushed at: 25 days ago - Stars: 2 - Forks: 0

sweetice/Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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GBR-RL/PPO-LunarLander

PPO-based RL agent to land rockets in LunarLander-v2 using PyTorch

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sohailsmi/2d-drone-rl-navigation

A reinforcement learning-based 2D drone gate navigation system built from scratch using PyTorch.

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Oneiben/2d-drone-rl-navigation

A reinforcement learning-based 2D drone gate navigation system built from scratch using PyTorch.

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ganjalipour/Reinforcement-learning

Deep Q-Network, Actor-critic , Policy gradient implementation in python

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RsGoksel/Reinforcement-Learning-PongGame

Reinforcement Learning - PPO (Proximal Policy Optimization) Implementation to Pong Game

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SwamiKannan/Reinforcement-Learning-Specialization

Programming Assignments for Reinforcement Learning Specialization

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fangvv/UAV-DDPG

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

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mklblm/VU-Multi-agent-Systems

From-scratch implementations of Monte Carlo Tree Search and the Actor-Critic Advantage Framework for the Multi-Agent Systems course at Vrije Universiteit Amsterdam in 2024-2025

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BY571/Soft-Actor-Critic-and-Extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Language: Python - Size: 5.99 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 272 - Forks: 32

XuehaiPan/Soft-Actor-Critic

PyTorch Implementation of Soft Actor-Critic Algorithm

Language: Python - Size: 518 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 5

joshGilstrap/Asynchronous-Advanced-Actor-Critic

A reinforcement learning A3C implementation trained to play Super Mario Bros

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arbit3rr/NN-Control

Control Methods for Dynamic Systems based on Neural Networks

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ccnets-team/causal-rl

Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm

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GioStamoulos/BTC_RL_Trading_Bot

A trading bitcoin agent was created with deep reinforcement learning implementations.

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kkothari93/ActorCritic-ECE586-Project

Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.

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BY571/D4PG

PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

Language: Python - Size: 2.17 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 4

HYDesmondLiu/RUBICON

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.

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Phoenix-Shen/ReinforcementLearning

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行

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nitish-kalan/CartPole-v1-Actor-Critic-Keras

Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm

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philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

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imraviagrawal/Reinforcement-Learning-Implementation

Implementation of Reinforcement Algorithms from scratch

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mkurovski/deep_rl_nanodegree

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

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garlicdevs/Fruit-API

A Universal Deep Reinforcement Learning Framework

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kcg2015/DDPG_numpy_only

Implemenation of DDPG with numpy only (without Tensorflow)

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Sohaib1424/Reinforcement-Learning-projects

Language: Python - Size: 1.34 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SamYuen101234/chrome_dino_RL

A very detailed project of Chrome Dinosaur in Deep RL for beginners

Language: Python - Size: 129 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

prajwalthakur/Projects

This Repository contains my projects!

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charlola/autonomous-systems

In this project, it is intended to learn and get familiar with the concepts of Reinforcement Learning (RL) by modeling agents with actor-critic and rainbow-dqn algorithms. Two continuous Unity Machine Learning Agents domains are chosen to realize this project.

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d-dawg78/MVA_RL

Master MVA - Reinforcement Learning Project

Language: Python - Size: 6 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

nima-siboni/simplest-world-Actor-Critic

Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world

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rtharungowda/Soft-Actor-Critic-Pytorch

Implement soft actor critic in pytorch to play a game of balancing pendulum in openai gym.

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vrona/BOT88

Self Driving Racing Car Agent (Deep Deterministic Policy Gradient algorithm)

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meet-minimalist/Udacity-Deep-Learning-Project-5-Fly-Quadcopter

Fly Quadcopter using Deep Reinforcement Learning

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