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Stochastic process
Results: 1129

#	Item
761	Finite-time Regional Verification of Stochastic Nonlinear Systems Jacob Steinhardt Department of Mathematics Massachusetts Institute of Technology Cambridge, Massachusetts[removed]Email: [removed] Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-09-02 10:48:22 Martingale Markov chain Optional stopping theorem Continuous function Wiener process Stochastic differential equation Itō diffusion Harris chain Statistics Stochastic processes Martingale theory
762	Scaling Up Decentralized MDPs Through Heuristic Search Jilles S. Dibangoye Christopher Amato INRIA Computer Science and AI Laboratory Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:08:28 Systems theory Markov processes Stochastic control Equations Mathematical optimization Markov decision process Reinforcement learning Automated planning and scheduling Bellman equation Statistics Dynamic programming Control theory
763	Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs Jilles S. Dibangoye Christopher Amato Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:10:29 Dynamic programming Stochastic control Mathematical sciences Markov processes Partially observable Markov decision process Markov decision process Reinforcement learning Algorithm Mathematical optimization Statistics Control theory Operations research
764	Influence-based Abstraction for Multiagent Systems Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-04-17 07:47:49 Stochastic control Multi-agent systems Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Agent-based model Markov chain Affect Statistics Markov processes Dynamic programming
765	Optimally Solving Dec-POMDPs as Continuous-State MDPs Jilles Steeve Dibangoye Inria / Universit´e de Lorraine Nancy, France [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-08-12 12:17:22 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Heuristic function Mathematical optimization Statistics Dynamic programming Markov processes
766	Tree-based Solution Methods for Multiagent POMDPs with Delayed Communication Frans A. Oliehoek Matthijs T.J. Spaan Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-25 09:33:21 Dynamic programming Partially observable Markov decision process Stochastic control Pruning Inner product space Branch and bound TATA-binding protein FO Control theory Mathematics Statistics
767	Automatic Synthesis of Rules for Planning in Belief Space Leslie Pack Kaelbling MIT CSAIL Cambridge, MA[removed]Email: [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-09-24 22:07:15 Stochastic control Control theory Logic in computer science Partially observable Markov decision process Fluent Probability Markov decision process Statistics Dynamic programming Markov processes
768	POMCoP: Belief Space Planning for Sidekicks in Cooperative Games Owen Macindoe, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez CSAIL, 32 Vassar Street Cambridge, Massachusetts, [removed]Abstract Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-10-18 15:45:42 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Danger Hiptop Economic model Borland Sidekick Simulation S0 Statistics Dynamic programming Markov processes
769	Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2014-03-18 11:50:39 Systems theory Mathematical optimization Markov processes Stochastic control Multi-agent systems Partially observable Markov decision process Automated planning and scheduling Markov decision process Action selection Statistics Dynamic programming Control theory
770	B LOG: Probabilistic Models with Unknown Objects∗ Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong and Andrey Kolobov Computer Science Division University of California Berkeley, CA[removed] Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:52:18 Mathematics Random variable Stochastic process Independence Parameter Model theory Probability theory Statistics Probability and statistics

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