reinforcement-learning-algorithms
There are 1157 repositories under reinforcement-learning-algorithms topic.
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
ericyangyu/PPO-for-Beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
nicrusso7/rex-gym
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
luchris429/purejaxrl
Really Fast End-to-End Jax RL Implementations
opendilab/awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
NeuromatchAcademy/course-content-dl
NMA deep learning course
JuliaPOMDP/POMDPs.jl
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
Skylark0924/Rofunc
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Stable-Baselines-Team/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
cbfinn/gps
Guided Policy Search
ZYunfeii/UAV_Obstacle_Avoiding_DRL
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
qiwihui/reinforcement-learning-an-introduction-chinese
《Reinforcement Learning: An Introduction》（第二版）中文翻译
opendilab/awesome-exploration-rl
A curated list of awesome exploration RL resources (continually updated)
Omegastick/pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
EricSteinberger/PokerRL
Framework for Multi-Agent Deep Reinforcement Learning in Poker
sichkar-valentyn/Reinforcement_Learning_in_Python
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
SforAiDl/genrl
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
PKU-Alignment/Safe-Policy-Optimization
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
wwxFromTju/awesome-reinforcement-learning-lib
GitHub's code repository is all you need
EdanToledo/Stoix
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
RITCHIEHuang/DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
jxareas/Machine-Learning-Notebooks
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
FortsAndMills/RL-Theory-book
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
huawei-noah/xingtian
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
opendilab/DI-engine-docs
DI-engine docs (Chinese and English)