Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac

First Page		Document Content
Date: 2016-03-28 19:05:32 Cognitive science Artificial intelligence Automated planning and scheduling Probability Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Motion planning Action selection Prior probability		Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac Add to Reading List Source URL: h2r.cs.brown.edu Download Document from Source Website File Size: 985,32 KB Share Document on Facebook

	Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty Lucas Janson† , Edward Schmerling† , and Marco Pavone Abstract This article presents a novel approach, named MCMP (Monte Carlo Motion Pl DocID: 1vjBF - View Document
	Auton Robot DOIs10514Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles Javier Alonso-Mora1,4 · Jonathan A. DeCastro2 · Vasumathi Raman3 · DocID: 1vhNQ - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Automated Driving: Safe Motion Planning Using Positively Invariant Sets Berntorp, K.; Weiss, A.; Danielson, C.; Di Cairano, S. DocID: 1v41z - View Document
	Motion Planning for Optimal Information Gathering in Opportunistic Navigation Systems Zaher M. Kassas∗, and Todd E. Humphreys† The University of Texas at Austin, Austin, TX, 78712, USA Motion planning for optimal in DocID: 1uTqR - View Document
	Assignments for October 11 I Read Chapters 13–14 in LaValle, S. M., Planning Algorithms, Cambridge University Press, Cambridge, UK, 2006. The chapters discuss topics in motion planning for systems with DocID: 1uR5q - View Document