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Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search"

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img		img
learner		learner
maps		maps
mixer		mixer
utils		utils
.gitignore		.gitignore
quick_start.py		quick_start.py
readme.md		readme.md

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PD-FAC

Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search"

Table of Contents

PD-FAC

1.Requirements

numpy, networkx, pytorch and other common packages.

2.Framework of PD-FAC

2. How to use

You can run script quick_start.py easily and modify the params in your own experiment.

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Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search"

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