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.