89 search results - page 16 / 18 » Sample-Based Planning for Continuous Action Markov Decision ... |
126
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UAI
2000
15 years 29 days ago
2000
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
114
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NIPS
2007
15 years 1 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
108
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
Privacy policies often place requirements on the purposes for which a governed entity may use personal information. For example, regulations, such as HIPAA, require that hospital ...
AAAI
2010
15 years 1 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
ECAI
2004
Springer
15 years 5 months ago
2004
Springer
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions...