30th Soar Workshop¶
June, 2010
Ann Arbor, MI
| Presenters | Title | Links |
|---|---|---|
| Sean A. Bittle, Mark S. Fox | Transfer Learning of Search Heuristics for Constraint Satisfaction | slides |
| Mitchell Keith Bloch | MAXQ HRL in Soar | slides |
| Olivier L. Georgeon, Frank E. Ritter | Self-Motivated Hierarchical Sequence Learning | slides |
| Nicholas Gorski, John Laird | An Empirical Exploration of Learning to Use Memory | slides |
| Isaiah Hines | Integrating Soar with Unreal 3 | slides |
| Johnicholas Hines | Towards Rogue-Soar: Combining Soar, Curses and Micropather | slides |
| William G. Kennedy | Cognitive Architecture Lite for Social Simulation | slides |
| John E. Laird | A Unified Approach to Diverse Forms of Action Modeling | slides |
| John E. Laird | Soar Tutorial: Building Intelligent Agents Using Soar | slides |
| John E. Laird | How to Build a Soar Agent | slides |
| Margaux Lhommet | Soar – First impressions | slides |
| Justin Li | Learning Subgoals in Hierarchical Reinforcement Learning | slides |
| Brian Magerko | Fuzzy Improvisational Agents | slides |
| Shiwali Mohan, John E. Laird | Reinforcement Learning in Infinite Mario | slides |
| Shiwali Mohan | Learning Background Knowledge through Instruction | slides |
| Paul Rosenbloom | A Graphical Memory Architecture | slides |
| Bryan Smith | Representing Ontologies and Reasoning with SMem | slides |
| Katherine Tyrol | A Cognitive Science Model of Playing Ms. Pac-Man | slides |
| Mike Van Lent | SoarTech Update | slides |
| Jonathan Voigt | Soar 9.3 | slides |
| Jonathan Voigt | Sproom: Splinter Soar Room Environment | slides |
| Yongjia Wang | Value Function Approximation with Hierarchical Clustering in Soar-RL | slides |
| Yongjia Wang | Learning Functional Categories with Soar-RL | slides |
| Sam Wintermute | Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents | slides |
| Bob Wray | Using Soar to Create Individualized Learning Experiences | slides |