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easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

or-tools

Google's Operations Research tools:

AMAPF-with-CBS-and-Space-Time-A-

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

asprilo

🤖 ASPRILO, an intra-logistics benchmark suite for answer set programming

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

DHC

Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021

DRLSolver4Dynamic-TSP

envlogger

A tool for recording RL trajectories.

GreaterWMS

Open source warehouse management system. And this warehouse-management-system follows Apache License 2.0 and front-back stage decoupling method. API uses restful protocol to facilitate for add-on functions development. The html & js code is constructed with quasar(base on Vue.js v2.6.0+). According to API, it can support business models such as multi warehouse, wave shipment, combined picking and milk-run and so on. To be a greater WMS

Implementation-of-A-Algorithm-Visualization-via-Pyp5js-

This project has been created for A* algorithm implementation in Python 3 and Pyp5js is used to visualize that algorithm.

kddcup-starting-kit

The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.

L2RPN_NIPS_2020_a_PPO_Solution

This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.

learning-assisted-mstar

lifelong_warehouse_rrl

malib

A parallel framework for population-based multi-agent reinforcement learning.

MAPF_gnn_pathplanning

Graph Neural Networks for Decentralized Path Planning

MCA-RMCA

Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery

Meta-Learning-based-Deep-Reinforcement-Learning-for-Multiobjective-Optimization-Problems

ML_Practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

Multi-Agent-Path-Finding

Goal of project is to write programs that will allow multiple agents to find optimal paths from their start location to their goal location such that all agents are able to move simultaneously. Various algorithms will be explored such as Prioritized Planning, Conflict-Based Search (CBS), A* Search. Additionally, a paper that describes Safe Interval Path Planning (SIPP) provided the inspiration for writing of SIPP versions of Prioritized Planning and CBS.

paper

PARL

A high-performance distributed training framework for Reinforcement Learning

pderl

Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

RIS-Goal-Conditioned

RL_Tutorial

Tutorial for Reinforce Learning

ShameCom

收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！

vae

a simple vae and cvae from keras

VectorNet

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

xingtian

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