Learning Predictive State Representations. - Satinder Singh 001; Michael L. Littman; Nicholas K. Jong; David Pardoe; Peter Stone 001 (ICML, 2003)

Towards Autonomous Topological Place Detection Using the Extended Voronoi Graph. - Patrick Beeson; Nicholas K. Jong; Benjamin Kuipers (ICRA, 2005)

State Abstraction Discovery from Irrelevant State Variables. - Nicholas K. Jong; Peter Stone 001 (IJCAI, 2005)

Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. - Gerald Tesauro; Nicholas K. Jong; Rajarshi Das; Mohamed N. Bennani (ECML, 2006)

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. - Gerald Tesauro; Nicholas K. Jong; Rajarshi Das; Mohamed N. Bennani (ICAC, 2006)

From pixels to multi-robot decision-making: A study in uncertainty. - Peter Stone 001; Mohan Sridharan; Daniel Stronger; Gregory Kuhlmann; Nate Kohl; Peggy Fidelman; Nicholas K. Jong (Robotics Auton. Syst., 2006)

Model-based function approximation in reinforcement learning. - Nicholas K. Jong; Peter Stone 001 (AAMAS, 2007)

Model-Based Exploration in Continuous State Spaces. - Nicholas K. Jong; Peter Stone 001 (SARA, 2007)

On the use of hybrid reinforcement learning for autonomic resource allocation. - Gerald Tesauro; Nicholas K. Jong; Rajarshi Das; Mohamed N. Bennani (Clust. Comput., 2007)

Automatic induction of generalization hierarchies for reinforcement learning. - Nicholas K. Jong (AAMAS (PhD), 2008)

The utility of temporal abstraction in reinforcement learning. - Nicholas K. Jong; Todd Hester; Peter Stone 001 (AAMAS (1), 2008)

Transferring Instances for Model-Based Reinforcement Learning. - Matthew E. Taylor; Nicholas K. Jong; Peter Stone 001 (ECML/PKDD (2), 2008)

Compositional Models for Reinforcement Learning. - Nicholas K. Jong; Peter Stone 001 (ECML/PKDD (1), 2009)