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» Anytime Sensing Planning and Action: A Practical Model for R...

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AIPS
2009

126views Artificial Intelligence» more AIPS 2009»

Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners

13 years 6 months ago

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Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...

Blai Bonet, Héctor Palacios, Hector Geffner

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AAAI
2010

198views Intelligent Agents» more AAAI 2010»

Automatic Derivation of Finite-State Machines for Behavior Control

13 years 7 months ago

Download www.dtic.upf.edu

Finite-state controllers represent an effective action selection mechanisms widely used in domains such as video-games and mobile robotics. In contrast to the policies obtained fr...

Blai Bonet, Héctor Palacios, Hector Geffner

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ICRA
2008
IEEE

173views Robotics» more ICRA 2008»

Bayesian reinforcement learning in continuous POMDPs with application to robot navigation

14 years 1 days ago

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— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...

Stéphane Ross, Brahim Chaib-draa, Joelle Pi...

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