Nicholas K. Jong

Publication Activity (10 Years)

Years Active: 2003-2009
Publications (10 Years): 0

Publications

Nicholas K. Jong, Peter Stone
Compositional Models for Reinforcement Learning. ECML/PKDD (1) (2009)
Nicholas K. Jong, Todd Hester, Peter Stone
The utility of temporal abstraction in reinforcement learning. AAMAS (1) (2008)
Nicholas K. Jong
Automatic induction of generalization hierarchies for reinforcement learning. AAMAS (PhD) (2008)
Matthew E. Taylor, Nicholas K. Jong, Peter Stone
Transferring Instances for Model-Based Reinforcement Learning. ECML/PKDD (2) (2008)
Nicholas K. Jong, Peter Stone
Model-Based Exploration in Continuous State Spaces. SARA (2007)
Nicholas K. Jong, Peter Stone
Model-based function approximation in reinforcement learning. AAMAS (2007)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
On the use of hybrid reinforcement learning for autonomic resource allocation. Clust. Comput. 10 (3) (2007)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML (2006)
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, Nicholas K. Jong
From pixels to multi-robot decision-making: A study in uncertainty. Robotics Auton. Syst. 54 (11) (2006)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC (2006)
Nicholas K. Jong, Peter Stone
State Abstraction Discovery from Irrelevant State Variables. IJCAI (2005)
Patrick Beeson, Nicholas K. Jong, Benjamin Kuipers
Towards Autonomous Topological Place Detection Using the Extended Voronoi Graph. ICRA (2005)
Satinder P. Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone
Learning Predictive State Representations. ICML (2003)