Discover TonghanWang/RODE Open Source project

Stars
67
Rank 460,253 (Top 10 %)
Language
Python
License
Apache License 2.0
Created almost 4 years ago
Updated 10 months ago

TonghanWang

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Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

ROMA

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

Python

148

NDQ

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

Python

DOP

Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)

Python

EITI-EDTI

Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)