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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— 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...
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
FLAIRS
2008
13 years 10 months ago
A Causal Bayesian Network View of Reinforcement Learning
Charles W. Fox, Neil Girdhar, Kevin N. Gurney
ATAL
2010
Springer
13 years 8 months ago
Bayesian role discovery for multi-agent reinforcement learning
Aaron Wilson, Alan Fern, Prasad Tadepalli