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NIPS
2003
15 years 4 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
135
Voted
AAAI
1998
15 years 4 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
108
Voted
AAAI
2000
15 years 4 months ago
Statistics-Based Summarization - Step One: Sentence Compression
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one...
Kevin Knight, Daniel Marcu
132
Voted
TREC
2003
15 years 4 months ago
AnswerFinder in TREC 2003
In this our first participation in TREC we have focused on the passage task of the question answering track. The main aim of our participation was to test the impact of various t...
Diego Mollá Aliod
109
Voted
FLAIRS
1998
15 years 4 months ago
Learning to Race: Experiments with a Simulated Race Car
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Larry D. Pyeatt, Adele E. Howe