Partially observable Markov decision process - PDFSEARCH.IO - Document Search Engine

Partially observable Markov decision process
Results: 193

#	Item
1	Assisting Persons with Dementia during Handwashing Using a Partially Observable Markov Decision Process Jesse Hoey1 , Axel von Bertoldi2 , Pascal Poupart3 , and Alex Mihailidis2 1 Add to Reading List Source URL: cs.uwaterloo.ca Language: English - Date: 2007-03-11 23:26:30
2	Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Yale University Computer Science Department New Haven, CT 06511 Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:28 Artificial intelligence Robotics Dynamic programming Markov processes Stochastic control Machine learning Probability theory Probability Partially observable Markov decision process Humanoid robot Reinforcement learning Humanrobot interaction
3	IFAAMAS Board Elections 2016 Statement Bio Matthijs Spaan is an assistant professor of Computer Science at Delft University of Technology, the Netherlands. He holds a PhD degree in Computer Scienceand an MSc degr Add to Reading List Source URL: www.aamas-conference.org Language: English - Date: 2016-03-14 20:09:09 Artificial intelligence Systems science Academia International Conference on Autonomous Agents and Multiagent Systems Reinforcement learning International Joint Conference on Artificial Intelligence Agent-based model Partially observable Markov decision process Multi-agent system Intelligent agent Peter Stone
4	Social Hierarchical Learning: Enabling Human-Robot Teaming Bradley Hayes Dept. of Computer Science,Yale University Human-robot teaming has the potential to enable robots to perform well beyond Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:45 Automated planning and scheduling Hierarchical task network Partially observable Markov decision process Robotics Robot Windows Task Scheduler Probability theory Software Computing
5	Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2012-04-19 16:26:14 Statistics Statistical theory Probability Bayesian statistics Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Q-learning Prior probability Conjugate prior
6	Journal of Artificial Intelligence Research–1178 Submitted 12/15; publishedExploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks Add to Reading List Source URL: jair.org Language: English - Date: 2016-04-28 15:06:13 Statistics Graphical models Probability Estimation theory Robot control Dynamic Bayesian network Probability theory Bayesian network Causality Particle filter Partially observable Markov decision process Belief propagation
7	Sequential Decision Making in Repeated Coalition Formation under Uncertainty Georgios Chalkiadakis Craig Boutilier Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2008-02-08 15:14:59 Statistics Game theory Statistical inference Dynamic programming Markov processes Stochastic control Probability theory Partially observable Markov decision process Coalition Cooperative game theory Core Bayesian game
8	Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Dept. of Computer Science, Yale University Human-robot teaming has the potential Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:46 Dynamic programming Partially observable Markov decision process Stochastic control Hierarchical task network Robotics Robot
9	Coordination in Multiagent Reinforcement Learning: A Bayesian Approach Georgios Chalkiadakis Craig Boutilier Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2009-03-02 16:24:03 Game theory Reinforcement learning Nash equilibrium Q-learning Strategy Partially observable Markov decision process Action selection Best response Bellman equation Zero-sum game Agent-based model Solution concept
10	Journal of Artificial Intelligence Research Submitted 3/13; publishedA Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-04 20:03:22 Operations research Dynamic programming Mathematical optimization Equations Decision theory Reinforcement learning Markov decision process Bellman equation Policy Partially observable Markov decision process

UPDATE