Regular Policies in Stochastic Optimal Control and Abstract Dynamic Programming Dimitri P. Bertsekas Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

Source URL: web.mit.edu

StAMPL: A Filtration-Oriented Modeling Tool for Stochastic Programming Robert Fourer Leo Lopes

Source URL: users.iems.northwestern.edu

DARE Seminar Series - Noon-12:50pm Where: Engineering B101 Wednesday, September 14 - Natural Resources 115 A Stochastic Programming Approach to Fire Suppression Planning Speaker: Alex Masariat and Dr. Douglas Rideout, CS

Source URL: webdoc.agsci.colostate.edu

Two-day seminar on Stochastic Dynamic Programming and Temporal Difference Reinforcement Learning Hino Campus, Tokyo Metropolitan University （首都大学東京日野キャンパス）

Source URL: www.comp.sd.tmu.ac.jp

APPENDIX C: Measure Theoretic Issues A general theory of stochastic dynamic programming must deal with the formidable mathematical questions that arise from the presence of uncountable probability spaces. The purpose of

Source URL: www.athenasc.com

A Stochastic Smoothing Algorithm for Semidefinite Programming Alexandre d’Aspremont, CNRS & Ecole Polytechnique. Joint work with Noureddine El Karoui, U.C. Berkeley.

Source URL: www.di.ens.fr

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

Source URL: bradhayes.info

• 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

Sparser, Better, Faster GPU Parsing David Hall Taylor Berg-Kirkpatrick John Canny Dan Klein

Source URL: people.eecs.berkeley.edu

• Formal languages
• Syntax
• Software engineering
• Parsing algorithms
• Natural language parsing
• Cognitive science
• Computer programming
• Compiler construction
• Parsing
• Stochastic context-free grammar
• Formal grammar
• Parse tree

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

Source URL: h2r.cs.brown.edu

• 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

A Constant-Factor Approximation for Stochastic Steiner Forest ∗ Anupam Gupta Amit Kumar

Source URL: www.cs.cmu.edu

• Graph theory
• Computational complexity theory
• Mathematics
• NP-complete problems
• Vertex cover
• Steiner tree problem
• Shortest path problem
• Linear programming
• Edge disjoint shortest pair algorithm
• Minimum bottleneck spanning tree