Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-74.97%)
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (-19.98%)
A2cA Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Stars: ✭ 169 (-81.85%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (-2.9%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (-87.86%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (-71.21%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+629.97%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-81.1%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (-81.31%)
Rlseq2seqDeep Reinforcement Learning For Sequence to Sequence Models
Stars: ✭ 683 (-26.64%)
Aleph starReinforcement learning with A* and a deep heuristic
Stars: ✭ 235 (-74.76%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (-94.2%)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Stars: ✭ 2,617 (+181.1%)
Ai BlogAccompanying repository for Let's make a DQN / A3C series.
Stars: ✭ 351 (-62.3%)
Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (-64.55%)
Pytorch Cpp RlPyTorch C++ Reinforcement Learning
Stars: ✭ 353 (-62.08%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (-18.26%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (-57.57%)
Aigamesuse AI to play some games.
Stars: ✭ 422 (-54.67%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+120.3%)
RainbowA PyTorch implementation of Rainbow DQN agent
Stars: ✭ 147 (-84.21%)
AgentsTF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Stars: ✭ 2,135 (+129.32%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-84.43%)
AdeptrlReinforcement learning framework to accelerate research
Stars: ✭ 173 (-81.42%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (-81.31%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (-80.24%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-86.68%)
Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (-19.66%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (-75.51%)
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 (+182.71%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (-48.44%)
ReaverReaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Stars: ✭ 499 (-46.4%)
Snake Ai ReinforcementAI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).
Stars: ✭ 123 (-86.79%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (-65.74%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+257.57%)
Rl algorithmsStructural implementation of RL key algorithms
Stars: ✭ 352 (-62.19%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (-66.38%)
Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Stars: ✭ 627 (-32.65%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-57.68%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (-52.52%)
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 (-52.52%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (-48.23%)
Ros2learnROS 2 enabled Machine Learning algorithms
Stars: ✭ 119 (-87.22%)
Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-87%)
RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (-70.78%)
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 (-54.24%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (-45.01%)
ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (-38.24%)