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Distributed Policy Iteration for Scalable Approximation of ..:

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

Phan, Thomy ; Schmid, Kyrill ; Belzner, Lenz... - p. 2162-2164 , 2019

Link: https://dl.acm.org/doi/10.5555/3306127.3332044

RT 
T1 <cTitle>Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3332044&Exemplar=1&LAN=DE
				
A1 Phan, Thomy
A1 Schmid, Kyrill
A1 Belzner, Lenz
A1 Gabor, Thomas
A1 Feld, Sebastian
A1 Linnhoff-Popien, Claudia
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2019
K1 multi-agent learning
K1 multi-agent planning
K1 policy iteration
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Multi-agent learning
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Dynamic programming for Markov decision processes
K1 Policy iteration
K1 Artificial intelligence
K1 Planning and scheduling
K1 Multi-agent planning
K1 Distributed artificial intelligence
K1 Multi-agent systems
SP 2162
OP 2164
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3306127.3332044
DO https://dl.acm.org/doi/10.5555/3306127.3332044
SF ELIB - SuUB Bremen

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