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Reward Specifications in Collaborative Multi-agent Learning..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,

Hasan, Maram ; Niyogi, Rajdeep - p. 1007-1013 , 2024

Link: https://dl.acm.org/doi/10.1145/3605098.3636028

RT 
T1 <cTitle>Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Reward Specifications in Collaborative Multi-agent Learning: A Comparative Study</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3636028&Exemplar=1&LAN=DE
				
A1 Hasan, Maram
A1 Niyogi, Rajdeep
PB ACM
YR 2024
K1 collaborative learning
K1 multi-agent reinforcement learning
K1 reward specifications
K1 intrinsic rewards
K1 reward shaping
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Learning settings
K1 Learning from implicit feedback
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Cooperation and coordination
K1 Multi-agent systems
K1 Intelligent agents
K1 Philosophical/theoretical foundations of artificial intelligence
K1 Cognitive science
SP 1007
OP 1013
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3636028
DO https://dl.acm.org/doi/10.1145/3605098.3636028
SF ELIB - SuUB Bremen

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