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Stochastic programming
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#	Item
151	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:05:05 Stochastic control Partially observable Markov decision process Motion planning Automated planning and scheduling Markov decision process S0 Probabilistic roadmap Reinforcement learning Sampling Statistics Dynamic programming Markov processes
152	A Genetic Programming Approach to the Dynamic Portfolio Rebalancing Problem Vijay Karunamurthy Etrade Financial 4500 Bohnannon Dr. Menlo Park, CA 94024 Add to Reading List Source URL: www.genetic-programming.org Language: English* - Date: 2006-11-17 21:29:12 Finance Modern portfolio theory Rebalancing investments Diversification Asset allocation Investment management Sharpe ratio Marginal conditional stochastic dominance Portfolio Financial economics Investment Economics
153	Journal of Articial Intelligence Research423 Submitted 2/02; published 6/02 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2008-10-14 03:56:35 Stochastic control Multi-agent systems Partially observable Markov decision process Agent-based model Reinforcement learning Markov decision process Communication Statistics Dynamic programming Markov processes
154	Structured Parameter Elicitation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-01-17 20:01:45 Stochastic control Statistical theory Estimation theory Statistics Dynamic programming Partially observable Markov decision process
155	Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-01 20:57:56 Markov processes Stochastic control Mathematical sciences Operations research Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Algorithm Statistics Control theory Dynamic programming
156	Monte Carlo Value Iteration for Continuous-State POMDPs Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo Abstract Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:20:12 Stochastic control Control theory Partially observable Markov decision process Markov decision process Gaussian function Continuous function Statistics Dynamic programming Markov processes
157	IN Proc. IEEE Int. Conf. on Robotics & Automation, 2008 A Point-Based POMDP Planner for Target Tracking David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2008-07-11 05:01:44 Dynamic programming Markov processes Stochastic control Theoretical computer science Partially observable Markov decision process Markov decision process Motion planning Symbol Vector space Statistics Algebra Mathematics
158	Monte-Carlo Planning in Large POMDPs Joel Veness UNSW, Sydney, Australia Add to Reading List Source URL: jveness.info Language: English - Date: 2010-11-08 17:46:22 Dynamic programming Stochastic control Monte Carlo methods Statistical mechanics Partially observable Markov decision process Markov decision process Automated planning and scheduling Simulation Markov chain Statistics Probability and statistics Markov processes
159	PDF Document Add to Reading List Source URL: aisb.org.uk Language: English - Date: 2008-03-15 17:12:10 Dynamic programming Stochastic control Markov chain Reinforcement learning Partially observable Markov decision process Agent-based model Stochastic process Mathematical optimization Statistics Markov processes Markov models
160	PDF Document Add to Reading List Source URL: fpt.wdfiles.com Language: English - Date: 2012-09-17 05:11:31 Mathematics Mathematical optimization NP-complete problems Computational complexity theory Travelling salesman problem Stochastic optimization Job shop scheduling Ant colony optimization algorithms Dynamic programming Theoretical computer science Operations research Applied mathematics

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