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AGENTS
1999
Springer
15 years 4 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
BERTINORO
2005
Springer
15 years 5 months ago
On the Use of Online Analytic Performance Models, in Self-Managing and Self-Organizing Computer Systems
Current computing environments are becoming increasingly complex in nature and exhibit unpredictable workloads. These environments create challenges to the design of systems that c...
Daniel A. Menascé, Mohamed N. Bennani, Hong...
108
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ATAL
2008
Springer
15 years 1 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
ATAL
2010
Springer
15 years 24 days ago
Collective decision-making in multi-agent systems by implicit leadership
Coordination within decentralized agent groups frequently requires reaching global consensus, but typical hierarchical approaches to reaching such decisions can be complex, slow, ...
Chih-Han Yu, Justin Werfel, Radhika Nagpal
ICTAI
2010
IEEE
14 years 9 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi