AndyYue1893

COVID-19-SEIR-LSTM

本项目实现2019新型冠状病毒肺炎预测，分别采用经典传染病动力学模型SEIR和LSTM神经网络实现，通过控制模型参数来改变干预程度，体现防控的意义。

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 ....

DeepRL-1

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

pwc

Papers with code. Sorted by stars. Updated weekly.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

Safe-Reinforcement-Learning-Baseline

The repository is for safe reinforcement learning baselines.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

AndyYue1893/COVID-19-SEIR-LSTM

本项目实现2019新型冠状病毒肺炎预测，分别采用经典传染病动力学模型SEIR和LSTM神经网络实现，通过控制模型参数来改变干预程度，体现防控的意义。

AndyYue1893/Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

AndyYue1893/pwc

Papers with code. Sorted by stars. Updated weekly.

AndyYue1893/spinningup

An educational resource to help anyone learn deep reinforcement learning.

AndyYue1893/DeepRL-1

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

AndyYue1893/Safe-Reinforcement-Learning-Baseline

The repository is for safe reinforcement learning baselines.

AndyYue1893/dcg

AndyYue1893/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

AndyYue1893/DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

AndyYue1893/ElegantRL

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

AndyYue1893/ml-agents

Unity Machine Learning Agents Toolkit

AndyYue1893/SQDDPG

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

AndyYue1893/wqmix

Code for Weighted QMIX

AndyYue1893/adeptRL

Reinforcement learning framework to accelerate research

AndyYue1893/arxiv.py

Python wrapper for the arXiv API

AndyYue1893/CloseAirCombat

An environment based on JSBSIM aimed at one-to-one close air combat.

AndyYue1893/Decision

AndyYue1893/Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

AndyYue1893/epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

AndyYue1893/invalid-action-masking

Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

AndyYue1893/maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

AndyYue1893/pymarl

Python Multi-Agent Reinforcement Learning framework

AndyYue1893/random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

AndyYue1893/ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

AndyYue1893/Reinforcement-Implementation

Implementation of benchmark RL algorithms

AndyYue1893/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

AndyYue1893/RL-Implementation

simple code to reinforcement learning

AndyYue1893/smac

SMAC: The StarCraft Multi-Agent Challenge

AndyYue1893/StarCraft

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

AndyYue1893/WCSAC