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Stochastic programming
Results: 538

#	Item
481	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
482	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
483	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
484	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
485	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
486	Automatic Programming with Ant Colony Optimization Jennifer Green University of Kent [removed] Add to Reading List Source URL: www.cs.kent.ac.uk Language: English - Date: 2004-11-05 07:47:13 Operations research Mathematical optimization Ant colony optimization algorithms Stochastic optimization Cybernetics Travelling salesman problem Ant Artificial Ants Genetic algorithm Mathematics Applied mathematics Theoretical computer science
487	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
488	An experimental stochastic lazy floating-point arithmetic Keith Briggs [removed] http://keithbriggs.info RNC7 LORIA Nancy 2006 July 10-12 Add to Reading List Source URL: keithbriggs.info Language: English - Date: 2006-07-06 06:15:17 Computer programming Numerical analysis Data types Arithmetic MPFR Numerical software Floating point Rounding Lookup table Computing Computer arithmetic Mathematics
489	research highlights doi:[removed][removed]Technical Perspective The Ultimate Pilot Program By Stuart Russell and Lawrence Saul Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-05-29 04:46:06 Markov processes Stochastic control Reinforcement learning Markov decision process Apprenticeship learning Statistics Machine learning Dynamic programming
490	Programmable Reinforcement Learning Agents David Andre and Stuart J. Russell Computer Science Division, UC Berkeley, CA[removed]dandre,russell @cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2006-01-06 14:54:10 Markov processes Stochastic control Reinforcement learning Markov decision process Q-learning Phạm Machine learning Subroutine Reinforcement Statistics Computer programming Dynamic programming

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