Learning

Automatic Feature Extraction for Autonomous General Game Playing Agents
David M. Kaiser

Batch Reinforcement Learning in a Complex Domain
Shivaram Kalyanakrishnan and Peter Stone

Model-Based Function Approximation in Reinforcement Learning
Nicholas K. Jong and Peter Stone

A Framework for Agent-Based Distributed Machine Learning and Data Mining
Jan Tozicka, Michael Rovatsos and Michal Pechoucek

Aggregation in Multi-Agent Systems and the Problem of Truth-Tracking
Gabriella Pigozzi and Stephan Hartmann

Adapting in Agent-Based Markets: A Study from TAC SCM
David Pardoe and Peter Stone

Reinforcement Learning with Utility-aware Agents for Market-based Resource Allocation
Eduardo Rodrigues Gomes and Ryszard Kowalczyk

Towards Reinforcement Learning Representation Transfer
Matthew E. Taylor and Peter Stone