Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+39.72%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (-59.93%)
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+376.95%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (-80.85%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-90.78%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+70.92%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+70.21%)
Rlseq2seqDeep Reinforcement Learning For Sequence to Sequence Models
Stars: ✭ 683 (+142.2%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-92.91%)
Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-57.09%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+40.07%)
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 (+51.06%)
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+164.18%)
BtgymScalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+171.28%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (+56.74%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+220.57%)
Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
Stars: ✭ 37 (-86.88%)
Reinforcement LearningDeep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Stars: ✭ 61 (-78.37%)
Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Stars: ✭ 97 (-65.6%)
OpenaigymSolving OpenAI Gym problems.
Stars: ✭ 98 (-65.25%)
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 (+56.74%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+10.99%)
CartpoleOpenAI's cartpole env solver.
Stars: ✭ 107 (-62.06%)
A2cA Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Stars: ✭ 169 (-40.07%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-56.03%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-37.59%)
Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (-60.28%)
TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Stars: ✭ 160 (-43.26%)
Rl algorithmsStructural implementation of RL key algorithms
Stars: ✭ 352 (+24.82%)
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 (-58.16%)
Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Stars: ✭ 627 (+122.34%)
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Stars: ✭ 931 (+230.14%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+1357.09%)
Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Stars: ✭ 104 (-63.12%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (-70.21%)
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 (+965.25%)
TorchrlHighly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-63.83%)
Drqn TensorflowDeep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
Stars: ✭ 127 (-54.96%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-17.38%)
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 (-38.65%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-88.65%)
pytorch-rlPytorch Implementation of RL algorithms
Stars: ✭ 15 (-94.68%)
SeqGAN-PyTorchImplementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Stars: ✭ 40 (-85.82%)
atc-reinforcement-learningReinforcement learning for an air traffic control task. OpenAI gym based simulation.
Stars: ✭ 37 (-86.88%)
prlOpen-source library for a reinforcement learning research.
Stars: ✭ 53 (-81.21%)
OpenAIGym.jlOpenAI's Gym binding for Julia
Stars: ✭ 97 (-65.6%)