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06/01/2023
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information
Real-world games, which concern imperfect information, multiple players,...
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03/22/2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Multi-agent reinforcement learning (MARL) has achieved remarkable succes...
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12/05/2022
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
Unmanned combat air vehicle (UCAV) combat is a challenging scenario with...
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07/03/2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Communication-based multi-agent reinforcement learning (MARL) provides i...
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03/28/2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN ...
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10/18/2021
Empirical Policy Optimization for n-Player Markov Games
In single-agent Markov decision processes, an agent can optimize its pol...
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10/10/2020
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Communicating with each other in a distributed manner and behaving as a ...
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03/31/2020
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
The Fighting Game AI Competition (FTGAIC) provides a challenging benchma...
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12/23/2019
A Survey of Deep Reinforcement Learning in Video Games
Deep reinforcement learning (DRL) has made great achievements since prop...
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04/03/2018