Sciweavers

1262 search results - page 142 / 253
» Reinforcement Learning: An Introduction
Sort
View
COLING
2000
13 years 9 months ago
Automatic Optimization of Dialogue Management
Designing the dialogue strategy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing di...
Diane J. Litman, Michael S. Kearns, Satinder P. Si...

Publication
226views
15 years 6 months ago
A Gentle Introduction to Multi-stage Programming
Multi-stage programming (MSP) is a paradigm for developing generic software that does not pay a runtime penalty for this generality. This is achieved through concise, carefully-des...
Walid Taha
ATAL
2006
Springer
13 years 12 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
AAAI
1994
13 years 9 months ago
Learning to Coordinate without Sharing Information
Researchers in the eld of Distributed Arti cial Intelligence (DAI) have been developing e cient mechanisms to coordinate the activities of multiple autonomous agents. The need for...
Sandip Sen, Mahendra Sekaran, John Hale
ECML
2006
Springer
13 years 12 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater