Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-90.52%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-15.09%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (-62.5%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (-42.24%)
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 (-74.57%)
Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Stars: ✭ 257 (-44.61%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+3.88%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (-34.48%)
RadRAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (-42.24%)
Rl algosReinforcement Learning Algorithms
Stars: ✭ 14 (-96.98%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-79.74%)
Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Stars: ✭ 3,037 (+554.53%)
BtgymScalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+64.87%)
Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (+61.21%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+78.02%)
Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (-75.86%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-50.65%)
DrlkitA High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Stars: ✭ 29 (-93.75%)
Rl QuadcopterTeach a Quadcopter How to Fly!
Stars: ✭ 124 (-73.28%)
Paac.pytorchPytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
Stars: ✭ 22 (-95.26%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (-21.55%)
Rl Baselines ZooA collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+80.82%)
DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Stars: ✭ 628 (+35.34%)
Stable BaselinesMirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Stars: ✭ 115 (-75.22%)
Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (-82.97%)
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 (-4.74%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-90.52%)
Practical rlA course in reinforcement learning in the wild
Stars: ✭ 4,741 (+921.77%)
RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (+111.21%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+617.46%)
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 (-3.66%)
Ma GymA collection of multi agent environments based on OpenAI gym.
Stars: ✭ 226 (-51.29%)
Dmc2gymOpenAI Gym wrapper for the DeepMind Control Suite
Stars: ✭ 75 (-83.84%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (-58.62%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (-4.74%)
Popular Rl AlgorithmsPyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Stars: ✭ 266 (-42.67%)
RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (-41.38%)
Pytorch BlenderSeamless, distributed, real-time integration of Blender into PyTorch data pipelines
Stars: ✭ 272 (-41.38%)
Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Stars: ✭ 272 (-41.38%)
Trading BotStock Trading Bot using Deep Q-Learning
Stars: ✭ 273 (-41.16%)
TensorforceTensorforce: a TensorFlow library for applied reinforcement learning
Stars: ✭ 3,062 (+559.91%)
DinoruntutorialAccompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Stars: ✭ 285 (-38.58%)
SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
Stars: ✭ 14 (-96.98%)
RlquantApplying Reinforcement Learning in Quantitative Trading
Stars: ✭ 271 (-41.59%)
Deep RlCollection of Deep Reinforcement Learning algorithms
Stars: ✭ 280 (-39.66%)
Deep rlPyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)
Stars: ✭ 291 (-37.28%)
Pytorch TrpoPyTorch implementation of Trust Region Policy Optimization
Stars: ✭ 303 (-34.7%)