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羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
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train-robot-arm-from-scratchby MorvanZhou
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A Python interface for reinforcement learning environments
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Deep-QLearning-Agent-for-Traffic-Signal-Controlby AndreaVidali
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A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
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multi-agent deep reinforcement learning for networked system control.
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reinforcement-learning-stanfordby Zhenye-Na
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License: No License (No License)🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
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Hands-On-Intelligent-Agents-with-OpenAI-Gymby PacktPublishing
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Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
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stable-baselines3-contribby Stable-Baselines-Team
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Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
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This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
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Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".
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pytorch-drl4vrpby mveres01
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
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gym-gazebo2by AcutronicRobotics
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
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JORLDYby kakaoenterprise
Repository for Open Source Reinforcement Learning Framework JORLDY
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a3c_tradingby evgps
Trading with recurrent actor-critic reinforcement learning
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DI-sheepby opendilab
羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
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robo-gymby jr-robotics
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
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tetris_mctsby hrpan
MCTS project for Tetris
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cchess-zeroby chengstone
AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现中国象棋。
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pytorch-esby atgambardella
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openai_labby kengz
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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PokerRLby EricSteinberger
Framework for Multi-Agent Deep Reinforcement Learning in Poker
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seq2seq-summarizerby ymfa
Pointer-generator reinforced seq2seq summarization in PyTorch
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pytorch-trpoby ikostrikov
PyTorch implementation of Trust Region Policy Optimization
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vimeby openai
Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
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train-robot-arm-from-scratchby MorvanZhou
Build environment and train a robot arm from scratch (Reinforcement Learning)
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panda-gymby qgallouedec
Set of robotic environments based on PyBullet physics engine and gymnasium.
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imitation-learningby Kaixhin
Imitation learning algorithms
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gym-rocketlanderby EmbersArc
A SpaceX Rocket Lander environment for OpenAI gym using Box2D
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reinforcement-learning-codeby gxnk
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safety-starter-agentsby openai
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
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MADDPGby starry-sky6688
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
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dm_envby deepmind
A Python interface for reinforcement learning environments
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jumanjiby instadeepai
A diverse suite of scalable reinforcement learning environments in JAX
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hindsight-experience-replayby TianhongDai
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Python 294Updated: 2 y ago License: Permissive (MIT)
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rocket-landerby arex18
SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.
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muzero-pytorchby koulanurag
Pytorch Implementation of MuZero
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ReLeaSEby isayev
Deep Reinforcement Learning for de-novo Drug Design
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Deep-QLearning-Agent-for-Traffic-Signal-Controlby AndreaVidali
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
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Simple-Offline-Siteby chriscoyier
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gym-unrealcvby zfw1226
Unreal environments for reinforcement learning
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deeprl_networkby cts198859
multi-agent deep reinforcement learning for networked system control.
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reinforcement-learning-stanfordby Zhenye-Na
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
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Hands-On-Intelligent-Agents-with-OpenAI-Gymby PacktPublishing
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
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mjrlby aravindr93
Reinforcement learning algorithms for MuJoCo tasks
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rl-exploration-baselinesby yuanmingqi
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
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DeepGamingAI_FIFARLby ChintanTrivedi
Using Reinforcement Learning to play FIFA
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or-gymby hubbs5
Environments for OR and RL Research
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stable-baselines3-contribby Stable-Baselines-Team
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
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DexterousHandsby PKU-MARL
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
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Reinforcement_Learningby pythonlessons
Reinforcement learning tutorials
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ElegantRLby Yonv1943
Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".
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MultiHopKGby salesforce
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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pyro2by python-hydro
A framework for hydrodynamics explorations and prototyping
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pysc2-agentsby xhujoy
This is a simple implementation of DeepMind's PySC2 RL agents.
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robosumoby openai
Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
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rl_marketsby tspooner
Market Making via Reinforcement Learning
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SuperGoby dylandjian
A student implementation of Alpha Go Zero
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xingtianby huawei-noah
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
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burlapby jmacglashan
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
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umbrel-appsby getumbrel
The new, official app repository of the Umbrel App Store. Submit apps and updates here.
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