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» Programmable Reinforcement Learning Agents
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115
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JACIII
2006
97views more  JACIII 2006»
15 years 3 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
82
Voted
ICAART
2010
INSTICC
16 years 22 days ago
A Reinforcement Learning Approach for Multiagent Navigation
Francisco Martinez-Gil, Fernando Barber, Miguel Lo...
127
Voted
TSMC
2008
229views more  TSMC 2008»
15 years 3 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
148
Voted
ATAL
2008
Springer
15 years 5 months ago
Sequential decision making in repeated coalition formation under uncertainty
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
Georgios Chalkiadakis, Craig Boutilier
131
Voted
ACMACE
2006
ACM
15 years 9 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher