1 Local & Adversarial Search CSD 15-780:Graduate Artificial Intelligence Instructors:Zico Kolter and Zack Rubinstein TA:Vittorio Perera.
The Soar Cognitive Architecture-The MIT Press (2012) - John E. Laird
Constraint Satisfaction Introduction to Artificial Intelligence COS302 Michael L. Littman Fall 2001.
1 RL for Large State Spaces: Value Function Approximation Alan Fern * Based in part on slides by Daniel Weld.
Accelerating External Search with Bitstate Hashing Stefan Edelkamp Shahid Jabbar Computer Science Department University of Dortmund, Dortmund, Germany.
1. Algorithms for Inverse Reinforcement Learning 2. Apprenticeship learning via Inverse Reinforcement Learning.
Guaranteeing Safety in Semi-autonomous Robotic Systems: A Formal Approach through Hybrid Systems with Hidden Modes Domitilla Del Vecchio University of.
1 RL for Large State Spaces: Policy Gradient Alan Fern.
Reinforcement Learning Slides for this part are adapted from those of Dan Klein@UCB.
Cross-Layer Scheduling in Cloud Systems Hilfi Alkaff, Indranil Gupta, Luke Leslie Department of Computer Science University of Illinois at Urbana-Champaign.
Max-norm Projections for Factored MDPs Carlos Guestrin Daphne Koller Stanford University Ronald Parr Duke University.
High Performance Computing Presented To Mam Saman Iftikhar Presented BY Siara Nosheen MSCS 2 nd sem 2514.