Xueyu Wei's repositories
action-branching-agents
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
deep_rl
PyTorch implementations of deep reinforcement learning algorithms
dqn_zoo
The implement of all kinds of dqn reinforcement learning with Pytorch
dqn_zoo-1
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
DRL_algorithm_library
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
ElegantRL
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
FinRL
Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥
flann
Fast Library for Approximate Nearest Neighbors
gym
A toolkit for developing and comparing reinforcement learning algorithms.
human-level-control-through-deep-reinforcement-learning
A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Reinforcement-Implementation
Implementation of benchmark RL algorithms
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement_Learning
Reinforcement learning tutorials
ReinforcementLearning
Implementation of deep deterministic policy gradient with Wolpertinger
rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
spinningup
An educational resource to help anyone learn deep reinforcement learning.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
tree-rl-adaptive
AlphaZero algorithm compatible with single-player deterministic environments with adaptive return normalization, optionally adaptive root return variance based MCTS iterations.
V-MPO_Lunarlander
Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
Wolpertinger-DDPG
This repo contains the implementation of the paper - Deep Reinforcement Learning in Large Discrete Action Spaces
wolpertinger_ddpg
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.