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Partially observable Markov decision process
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#	Item
181	Approximate Solutions For Partially Observable Stochastic Games with Common Payoffs Rosemary Emery-Montemerlo, Geoff Gordon, Jeff Schneider School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-25 15:30:50 Stochastic control Bayesian statistics Artificial intelligence Partially observable Markov decision process Bayesian game Action selection Reinforcement learning Markov decision process Decision theory Statistics Dynamic programming Markov processes
182	POMDP Planning for Robust Robot Control Joelle Pineau School of Computer Science McGill University Montreal QC CANADA H3A 2A7 [removed] Add to Reading List Source URL: www.cs.mcgill.ca Language: English - Date: 2006-01-03 14:50:45 Stochastic control Linear filters Markov models Partially observable Markov decision process Markov decision process Kalman filter Recursive Bayesian estimation Reinforcement learning Robotics Statistics Dynamic programming Markov processes
183	Policy-contingent abstraction for robust robot control Joelle Pineau, Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 12:29:33 Stochastic control Control theory Partially observable Markov decision process Reinforcement learning Markov decision process Automated planning and scheduling Action selection Bellman equation Abstraction Statistics Dynamic programming Markov processes
184	Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-01-17 12:21:11 Dynamic programming Partially observable Markov decision process Stochastic control Search algorithms Vector space K-d tree Norm Metric tree K-nearest neighbor algorithm Algebra Mathematics Linear algebra
185	EXECUTION-TIME COMMUNICATION DECISIONS FOR COORDINATION OF MULTI-AGENT TEAMS Maayan Roth CMU-RI-TR-08-04 Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2012-08-21 12:43:37 Personal Jukebox Partially observable Markov decision process Agent-based model Ace Actor model Control theory Multi-agent systems Statistics Computing
186	Fast approximate planning in POMDPs Geoff Gordon [removed] Joelle Pineau, Geoff Gordon, Sebastian Thrun. Point-based Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-05-01 11:32:55 Pointwise product Mathematics Dynamic programming Partially observable Markov decision process Stochastic control
187	Algorithms for Inverse Reinfor ement Learning Andrew Y. Ng Stuart Russell ang s.berkeley.edu russell s.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2007-04-04 16:42:02 Applied mathematics Stochastic control Markov processes Operations research Mathematical optimization Linear programming Partially observable Markov decision process S0 Bellman equation Dynamic programming Statistics Mathematics
188	RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains Emma Brunskill Computer Science Department University of California, Berkeley Berkeley, CA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-06-12 13:34:38 Stochastic control Partially observable Markov decision process Automated planning and scheduling Markov decision process Reinforcement learning Bayesian network Observable State space Action Statistics Dynamic programming Markov processes
189	y3 y Add to Reading List Source URL: www-kasm.nii.ac.jp Language: English - Date: 2007-11-28 22:36:40 Stochastic control Partially observable Markov decision process Reinforcement learning Q-learning Statistics Dynamic programming Markov processes
190	PDF Document Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2013-01-31 06:44:50 Dynamic programming Stochastic control Markov models Statistical mechanics Partially observable Markov decision process Monte Carlo method Reinforcement learning Markov decision process Automated planning and scheduling Statistics Probability and statistics Markov processes