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ATAL
2005
Springer
14 years 1 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 8 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
CORR
2011
Springer
194views Education» more  CORR 2011»
12 years 12 months ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
AAAI
2006
13 years 9 months ago
Algorithms for Control and Interaction of Large Formations of Robots
NSF and NASA sponsored a workshop to discuss harvesting solar power in space. One solution considered was the use of a swarm of robots to form a solar reflector. How can these rob...
Ross Mead, Jerry B. Weinberg
PUK
2001
13 years 9 months ago
Plan Representation and Plan Execution in Multi-agent Systems for Robot Control
Hardware agents as a part of cooperative multi-agent systems act in dynamically changing environments and accomplish tasks jointly. Since the pure hybrid plan representation provid...
Alexander Osherenko