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awesome-explainable-reinforcement-learning

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

capam-mrta

done-cpta

epymarl

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

genetic_local_search_tsp

hlb

lstm

基于LSTM的时间序列预测研究

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

oldmodels

or-rl-benchmarks

The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'

python

All Algorithms implemented in Python

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

rl-vrp-ptrntwrk

Reinforcement Learning for Solving the Vehicle Routing Problem

rl_tsp_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

routingproblemgann

seac

The official code base of Shared Experience Actor-Critic (NeurIPS2020)

shapley-q-learning

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

spc

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''.

stackelberg-actor-critic-algos

universal-graph-embedding-neural-network

Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

xai-in-rl

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms