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» Multi-Agent Reinforcement Learning for Planning and Scheduli...
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51
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ICMAS
2000
15 years 9 days ago
Multi-Agent Reinforcement Learning for Planning and Scheduling Multiple Goals
Sachiyo Arai, Katia P. Sycara, Terry R. Payne
90
Voted
ICML
1994
IEEE
15 years 2 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
94
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ATAL
2005
Springer
15 years 4 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...
109
Voted
CI
2005
106views more  CI 2005»
14 years 10 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
103
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DAGSTUHL
2001
15 years 10 days ago
Decision-Theoretic Control of Planetary Rovers
Planetary rovers are small unmanned vehicles equipped with cameras and a variety of sensors used for scientific experiments. They must operate under tight constraints over such res...
Shlomo Zilberstein, Richard Washington, Daniel S. ...