MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+7225%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (+557.14%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+10628.57%)
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+4703.57%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+1039.29%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (+303.57%)
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!
Stars: ✭ 173 (+517.86%)
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)
Stars: ✭ 426 (+1421.43%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+732.14%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+1310.71%)
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+2560.71%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (+417.86%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+9328.57%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+1478.57%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (+150%)
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+3039.29%)
Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Stars: ✭ 118 (+321.43%)
Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
Stars: ✭ 144 (+414.29%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (+39.29%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (+528.57%)
OpenaigymSolving OpenAI Gym problems.
Stars: ✭ 98 (+250%)
Pytorch A3cSimple A3C implementation with pytorch + multiprocessing
Stars: ✭ 364 (+1200%)
Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Stars: ✭ 33 (+17.86%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+1621.43%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (+14.29%)
Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (+92.86%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (+92.86%)
Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
Stars: ✭ 83 (+196.43%)
pytorch-rlPytorch Implementation of RL algorithms
Stars: ✭ 15 (-46.43%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+14575%)
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Stars: ✭ 90 (+221.43%)
UAV-DDPGCode for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Stars: ✭ 133 (+375%)
Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Stars: ✭ 15 (-46.43%)
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.
Stars: ✭ 167 (+496.43%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+1017.86%)
TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Stars: ✭ 160 (+471.43%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-7.14%)
Ai BlogAccompanying repository for Let's make a DQN / A3C series.
Stars: ✭ 351 (+1153.57%)
Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (+1078.57%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+1307.14%)
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Stars: ✭ 931 (+3225%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+3128.57%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (+1478.57%)
ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Stars: ✭ 2,074 (+7307.14%)
ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (+1953.57%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+24171.43%)
Keras Rl2Reinforcement learning with tensorflow 2 keras
Stars: ✭ 134 (+378.57%)
Drqn TensorflowDeep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
Stars: ✭ 127 (+353.57%)