Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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).
AdeptrlReinforcement learning framework to accelerate research
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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!
A2cA Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
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
Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Rl algosReinforcement Learning Algorithms
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Rlseq2seqDeep Reinforcement Learning For Sequence to Sequence Models
ReaverReaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
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..
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)
Pytorch A3cSimple A3C implementation with pytorch + multiprocessing
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
DrqDrQ: Data regularized Q
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
UnderflowWith underflow, create trafic light clusters that interact together to regulate circulation
java-reinforcement-learningPackage provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
off-policy-continuous-control[DeepRL Workshop, NeurIPS-21] Recurrent Off-policy Baselines for Memory-based Continuous Control (RDPG, RTD3 and RSAC)
Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Fruit-APIA Universal Deep Reinforcement Learning Framework
jax-rlJAX implementations of core Deep RL algorithms