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Deep Fictitious Play for Games with Continuous Action Space:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,

Kamra, Nitin ; Gupta, Umang ; Wang, Kai... - p. 2042-2044 , 2019

Link: https://dl.acm.org/doi/10.5555/3306127.3332004

RT 
T1 <cTitle>Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Deep Fictitious Play for Games with Continuous Action Spaces</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3332004&Exemplar=1&LAN=DE
				
A1 Kamra, Nitin
A1 Gupta, Umang
A1 Wang, Kai
A1 Fang, Fei
A1 Liu, Yan
A1 Tambe, Milind
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2019
K1 Nash equilibrium
K1 deep learning
K1 fictitious play
K1 multi-agent learning
K1 stackelberg security games
K1 two-player games
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Multi-agent learning
K1 Algorithmic game theory and mechanism design
K1 Exact and approximate computation of equilibria
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
SP 2042
OP 2044
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3306127.3332004
DO https://dl.acm.org/doi/10.5555/3306127.3332004
SF ELIB - SuUB Bremen

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