TianshouAn elegant PyTorch deep reinforcement learning library.
Aleph starReinforcement learning with A* and a deep heuristic
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Tensorflow RlImplementations of deep RL papers and random experimentation
AtariAI research environment for the Atari 2600 games 🤖.
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
DrlRepository for codes of 'Deep Reinforcement Learning'
Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
AgentsTF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
PerPrioritized Experience Replay (PER) implementation in PyTorch
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
RainbowA PyTorch implementation of Rainbow DQN agent
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Keras Rl2Reinforcement learning with tensorflow 2 keras
Drqn TensorflowDeep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
Ros2learnROS 2 enabled Machine Learning algorithms
Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
TorchrlHighly Modular and Scalable Reinforcement Learning
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Categorical DqnA working implementation of the Categorical DQN (Distributional RL).
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
ReinforcepyCollection of reinforcement learners implemented in python. Mainly including DQN and its variants
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
Dqn FlappybirdPlay flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch
Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Pytorch Project TemplateA scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Reinforcement Learning AlgorithmsThis repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)