Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-8.27%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+55.12%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+55.51%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+707.48%)
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Stars: ✭ 90 (-64.57%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+43.31%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (+74.02%)
OpenaigymSolving OpenAI Gym problems.
Stars: ✭ 98 (-61.42%)
Hindsight Experience ReplayThis is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Stars: ✭ 134 (-47.24%)
ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (+126.38%)
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 (+1082.68%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+25.59%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+23.23%)
Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
Stars: ✭ 83 (-67.32%)
Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (-78.74%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-42.91%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (-27.56%)
Ns3 Gymns3-gym - The Playground for Reinforcement Learning in Networking Research
Stars: ✭ 221 (-12.99%)
Awesome Real World RlGreat resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Stars: ✭ 234 (-7.87%)
IcnnInput Convex Neural Networks
Stars: ✭ 214 (-15.75%)
PilcoBayesian Reinforcement Learning in Tensorflow
Stars: ✭ 222 (-12.6%)
Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
Stars: ✭ 234 (-7.87%)
GoldReinforcement Learning in Go
Stars: ✭ 215 (-15.35%)
Rl CheatsheetRL Notation and Pseudocode for Udacity's MLND program
Stars: ✭ 245 (-3.54%)
AutodromeFramework and OpenAI Gym Environment for Autonomous Vehicle Development
Stars: ✭ 214 (-15.75%)
PokerrlFramework for Multi-Agent Deep Reinforcement Learning in Poker
Stars: ✭ 214 (-15.75%)
Ml GamesMachine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Stars: ✭ 247 (-2.76%)
Reco PapersClassic papers and resources on recommendation
Stars: ✭ 2,804 (+1003.94%)
Machine Learning Uiuc🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Stars: ✭ 233 (-8.27%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+939.37%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+2151.97%)
Pytorch ReinforcePyTorch Implementation of REINFORCE for both discrete & continuous control
Stars: ✭ 212 (-16.54%)
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (-5.12%)
Rl AgentsImplementations of Reinforcement Learning and Planning algorithms
Stars: ✭ 232 (-8.66%)
GymfcA universal flight control tuning framework
Stars: ✭ 210 (-17.32%)
Alphazero gomokuAn implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Stars: ✭ 2,570 (+911.81%)
Data Science FreeFree Resources For Data Science created by Shubham Kumar
Stars: ✭ 232 (-8.66%)
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 (+936.22%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (-2.36%)
Awesome Carla 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Stars: ✭ 246 (-3.15%)
RoboleagueA car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Stars: ✭ 236 (-7.09%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (-10.24%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-19.69%)
Rl tradingAn environment to high-frequency trading agents under reinforcement learning
Stars: ✭ 205 (-19.29%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-9.84%)
MinervaMeandering In Networks of Entities to Reach Verisimilar Answers
Stars: ✭ 205 (-19.29%)
EpgCode for the paper "Evolved Policy Gradients"
Stars: ✭ 204 (-19.69%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+1517.72%)
EvostraA fast Evolution Strategy implementation in Python
Stars: ✭ 227 (-10.63%)
MultihopkgMulti-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Stars: ✭ 202 (-20.47%)
Gym UnrealcvUnreal environments for reinforcement learning
Stars: ✭ 202 (-20.47%)