Nicholas K. Jong

According to our database1, Nicholas K. Jong authored at least 13 papers between 2003 and 2009.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2009
Compositional Models for Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
Transferring Instances for Model-Based Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

The utility of temporal abstraction in reinforcement learning.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Automatic induction of generalization hierarchies for reinforcement learning.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
On the use of hybrid reinforcement learning for autonomic resource allocation.
Clust. Comput., 2007

Model-Based Exploration in Continuous State Spaces.
Proceedings of the Abstraction, 2007

Model-based function approximation in reinforcement learning.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2006
From pixels to multi-robot decision-making: A study in uncertainty.
Robotics Auton. Syst., 2006

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation.
Proceedings of the 3rd International Conference on Autonomic Computing, 2006

Improvement of Systems Management Policies Using Hybrid Reinforcement Learning.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
State Abstraction Discovery from Irrelevant State Variables.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Towards Autonomous Topological Place Detection Using the Extended Voronoi Graph.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2003
Learning Predictive State Representations.
Proceedings of the Machine Learning, 2003


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