AAAI 2007 at a Glance

AAAI 2007
So far, it has been a nice experience. I had the chance to talk to intelligent people like, Ronald Parr, Randall Davis, and David L. Waltz. I also met cool graduate student such as Jacob Beal, and my friend Alex Strehl. The Man Vs Machine Poker competition drew lots of attention and ended with 1 draw, 1 win, and 2 losses for the computer. Notice that human players were professional players and internationally known to the world. In terms of the papers, I liked many of them that I should select from later on, but here is potential list:

POMDPs:
Point-Based Policy Iteration
Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin

Indefinite-Horizon POMDPs with Action-Based Termination
Eric A. Hansen

Search:
Near-Optimal Search in Continuous Domains, Samuel Ieong, Nicolas Lambert, Yoav Shoham, Ronen Brafman

RL:
Nectar: Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison, Matthew E. Taylor, Shimon Whiteson, Peter Stone

A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs
Roy Fox, Moshe Tennenholtz

Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
Jeff Johns, Sridhar Mahadevan, Chang Wang

Efficient Structure Learning in Factored-State MDPs
Alexander L. Strehl, Carlos Diuk, Michael L. Littman

Cogntion:
Predicate Projection in a Bimodal Spatial Reasoning System
Samuel Wintermute, John E. Laird

Etc.:
PLOW: A Collaborative Task Learning Agent
James Allen, Nathanael Chambers, George Ferguson, Lucian Galescu, Hyuckchul Jung, Mary Swift, William Taysom

Recognition of Hand Drawn Chemical Diagrams
Tom Y. Ouyang, Randall Davis

Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Bobby D. Bryant, Risto Miikkulainen