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 (-84.58%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-95.82%)
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 (+292.68%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (-89.02%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-48.5%)
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 (-42.22%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (-36.99%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+18.17%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-90.85%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (-42.22%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+168.1%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (-52.42%)
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+75.82%)
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+14.9%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (-48.37%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (-37.25%)
RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (+28.1%)
Practical rlA course in reinforcement learning in the wild
Stars: ✭ 4,741 (+519.74%)
Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
Stars: ✭ 464 (-39.35%)
TorchrlHighly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-86.67%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (-70.2%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-94.25%)
Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Stars: ✭ 135 (-82.35%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-76.99%)
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 (-13.99%)
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 (-86.41%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-94.25%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (-58.3%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (-59.08%)
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (-2.61%)
RlzooA Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Stars: ✭ 342 (-55.29%)
Gym MiniworldSimple 3D interior simulator for RL & robotics research
Stars: ✭ 338 (-55.82%)
TrpoTrust Region Policy Optimization with TensorFlow and OpenAI Gym
Stars: ✭ 343 (-55.16%)
Tf2rlTensorFlow2 Reinforcement Learning
Stars: ✭ 353 (-53.86%)
Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (-56.86%)
CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Stars: ✭ 346 (-54.77%)
Ai BlogAccompanying repository for Let's make a DQN / A3C series.
Stars: ✭ 351 (-54.12%)
TimelyAccumulo backed time series database
Stars: ✭ 357 (-53.33%)
GenrlA PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Stars: ✭ 356 (-53.46%)
LaunchpadAn open-source game launcher for your games
Stars: ✭ 322 (-57.91%)
Rl algorithmsStructural implementation of RL key algorithms
Stars: ✭ 352 (-53.99%)
Home PlatformHoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Stars: ✭ 370 (-51.63%)
Starcraft Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Stars: ✭ 372 (-51.37%)
UnrealReinforcement learning with unsupervised auxiliary tasks
Stars: ✭ 390 (-49.02%)
Spot mini miniDynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Stars: ✭ 426 (-44.31%)
Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Stars: ✭ 325 (-57.52%)