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-with-pytorch

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

pwc

Papers with code. Sorted by stars. Updated weekly.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

DeepRL-1

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

Safe-Reinforcement-Learning-Baseline

The repository is for safe reinforcement learning baselines.

dcg

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

ElegantRL

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

ml-agents

Unity Machine Learning Agents Toolkit

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''.

wqmix

Code for Weighted QMIX

adeptRL

Reinforcement learning framework to accelerate research

arxiv.py

Python wrapper for the arXiv API

CloseAirCombat

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

Decision

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

epymarl

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

invalid-action-masking

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

maddpg

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

pymarl

Python Multi-Agent Reinforcement Learning framework

random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

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.

Reinforcement-Implementation

Implementation of benchmark RL algorithms

rl-baselines-zoo

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

RL-Implementation

simple code to reinforcement learning

smac

SMAC: The StarCraft Multi-Agent Challenge

StarCraft

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

WCSAC