Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments-Reference-Cited by-同舟云学术

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Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments

Published:2024-12 Issue: Volume:257 Page:125116
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Dong Shaokang^ORCID,Li Chao,Yang Shangdong^ORCID,Li Wenbin,Gao Yang

Publisher

Elsevier BV

Reference60 articles.

1. Analyzing and visualizing multiagent rewards in dynamic and stochastic domains;Agogino,2008

2. Heads-up limit hold’em poker is solved;Bowling;Science,2015

3. Generalized attention-weighted reinforcement learning;Bramlage;Neural Networks,2022

4. Superhuman AI for heads-up no-limit poker: Libratus beats top professionals;Brown;Science,2018

5. Superhuman AI for multiplayer poker;Brown;Science,2019

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