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139
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ICML
2006
IEEE
15 years 6 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
ATAL
2008
Springer
15 years 2 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner
100
Voted
CORR
2010
Springer
101views Education» more  CORR 2010»
15 years 23 days ago
Finite Optimal Control for Time-Bounded Reachability in CTMDPs and Continuous-Time Markov Games
We establish the existence of optimal scheduling strategies for time-bounded reachability in continuous-time Markov decision processes, and of co-optimal strategies for continuous-...
Markus Rabe, Sven Schewe
110
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IUI
2010
ACM
15 years 9 months ago
A POMDP approach to P300-based brain-computer interfaces
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Jaeyoung Park, Kee-Eung Kim, Sungho Jo
102
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AIPS
2004
15 years 2 months ago
Decision-Theoretic Military Operations Planning
Military operations planning involves concurrent actions, resource assignment, and conflicting costs. Individual tasks sometimes fail with a known probability, promoting a decisio...
Douglas Aberdeen, Sylvie Thiébaux, Lin Zhan...