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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
PyTorch 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).
Minimal and Clean Reinforcement Learning Examples
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Deep Reinforcement Learning with pytorch & visdom
Deep Reinforcement Learning For Sequence to Sequence Models
Reinforcement 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..
This 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)
Simple A3C implementation with pytorch + multiprocessing
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
A3C LSTM Atari with Pytorch plus A3G design
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
PyTorch implementation of Soft Actor-Critic (SAC)
