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Cooperative and Competitive Biases for Multi-Agent Reinforc..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Ryu, Heechang ; Shin, Hayong ; Park, Jinkyoo - p. 1091-1099 , 2021

Link: https://dl.acm.org/doi/10.5555/3463952.3464079

RT 
T1 <cTitle>Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3464079&Exemplar=1&LAN=DE
				
A1 Ryu, Heechang
A1 Shin, Hayong
A1 Park, Jinkyoo
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2021
K1 bias
K1 competition
K1 cooperation
K1 multi-agent reinforcement learning
K1 Computing methodologies
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Multi-agent systems
K1 Intelligent agents
K1 Cooperation and coordination
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Algorithmic game theory and mechanism design
K1 Algorithmic game theory
SP 1091
OP 1099
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3463952.3464079
DO https://dl.acm.org/doi/10.5555/3463952.3464079
SF ELIB - SuUB Bremen

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