ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (-54.04%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (-70.9%)
FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Stars: ✭ 3,497 (+179.54%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+63.95%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-68.51%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (-74.5%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (-64.67%)
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 (+140.13%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+111.03%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-81.37%)
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 (-65.95%)
Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Stars: ✭ 272 (-78.26%)
Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Stars: ✭ 3,037 (+142.77%)
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 (-86.65%)
TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Stars: ✭ 160 (-87.21%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (-96.88%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-97.44%)
LWDRLCLightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-98.88%)
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 (-86.17%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+166.11%)
Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Stars: ✭ 325 (-74.02%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (-74.98%)
RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (-78.26%)
reinforcement learning ppo rndDeep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Stars: ✭ 33 (-97.36%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (-61.47%)
Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Stars: ✭ 658 (-47.4%)
Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (-40.21%)
RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (-21.66%)
Rl Portfolio ManagementAttempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
Stars: ✭ 447 (-64.27%)
BtgymScalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (-38.85%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-96.48%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-94.4%)
Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
Stars: ✭ 464 (-62.91%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (-27.74%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-96.48%)
RadRAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (-78.58%)
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+7.51%)
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 (-92.25%)
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 (-90.57%)
Pytorch A2c Ppo Acktr GailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Stars: ✭ 2,632 (+110.39%)
mujoco-benchmarkProvide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
Stars: ✭ 101 (-91.93%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (-93.29%)
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 (-98.8%)
Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Stars: ✭ 1,176 (-6%)