Online proceedings is now available for download here.


List of Accepted Papers:

Cost-Sensitive Reinforcement Learning
Robby Goetschalckx, Kurt Driessens

Gradient-Based Relational Reinforcement-Learning of Temporally Extended Policies
Charles Gretton

Learning Hierarchical Task Networks from Plan Traces
Chad Hogg, Hector Munoz-Avila

Learning Non-Deterministic Multi-Agent Planning Domains
Rune M. Jensen, Manuela M. Veloso

Learning Points of Interest for Observation Flight Planning Optimization: A Preliminary Report
Elif Kurklu, Robert A. Morris, Nikunj Oza

Learning action durations from executions
Jesús Lanchas, Sergio Jiménez, Fernando Fernández, Daniel Borrajo

Transfer Learning of Hierarchical Task-Network Planning Methods in a Real-Time Strategy Game
Stephen Lee-Urban, Austin Parker, Ugur Kuter, Hector Munoz-Avila, Dana Nau

Designing Experiments to Test Planning Knowledge about Plan-step Order Constraints
Clayton Morrison, Paul Cohen

Evolving Macro-Actions for Planning
Muhammad Newton, John Levine

Learning Recursive HTN-Method Structures for planning
Qiang Yang, Rong Pan, Sinno Jialin Pan

Learning to Solve Constraint Problems
Smiljana Petrovic, Susan Epstein

Learning Activation Rules for Derived Predicates from Plan Examples
Dong-Ning Rao, Zhi-Hua Jiang, Yun-Fei Jiang

Learned Models of Performance for Many Planners
Mark Roberts, Adele Howe, Landon Flom

Using Abstraction for Generalized Planning
Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein

Accelerating Search with Transferred Heuristics
Matthew Taylor, Gregory Kuhlmann, Peter Stone

LoopDISTILL: Learning Domain-Specific Planners from Example Plans
Elly Winner, Manuela Veloso

Incorporating Search Techniques in Feature-Discovering Planning
Jia-Hong Wu, Robert Givan

Towards Model-lite Planning: A Proposal For Learning & Planning with Incomplete Domain Models
Sungwook Yoon, Subbarao Kambhampati
Ome © Marjorie Mikasen 2005