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Nicholas K. Jong
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2000 – 2009
- 2009
- [c11]Nicholas K. Jong, Peter Stone:
Compositional Models for Reinforcement Learning. ECML/PKDD (1) 2009: 644-659 - 2008
- [c10]Nicholas K. Jong, Todd Hester, Peter Stone:
The utility of temporal abstraction in reinforcement learning. AAMAS (1) 2008: 299-306 - [c9]Nicholas K. Jong:
Automatic induction of generalization hierarchies for reinforcement learning. AAMAS (PhD) 2008: 1740-1741 - [c8]Matthew E. Taylor
, Nicholas K. Jong, Peter Stone:
Transferring Instances for Model-Based Reinforcement Learning. ECML/PKDD (2) 2008: 488-505 - 2007
- [j2]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): 287-299 (2007) - [c7]Nicholas K. Jong, Peter Stone:
Model-based function approximation in reinforcement learning. AAMAS 2007: 95 - [c6]Nicholas K. Jong, Peter Stone:
Model-Based Exploration in Continuous State Spaces. SARA 2007: 258-272 - 2006
- [j1]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): 933-943 (2006) - [c5]Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani:
Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML 2006: 783-791 - [c4]Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani:
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC 2006: 65-73 - 2005
- [c3]Patrick Beeson, Nicholas K. Jong, Benjamin Kuipers:
Towards Autonomous Topological Place Detection Using the Extended Voronoi Graph. ICRA 2005: 4373-4379 - [c2]Nicholas K. Jong, Peter Stone:
State Abstraction Discovery from Irrelevant State Variables. IJCAI 2005: 752-757 - 2003
- [c1]Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone:
Learning Predictive State Representations. ICML 2003: 712-719
Coauthor Index
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