Sciweavers

3412 search results - page 205 / 683
» Efficient Reinforcement Learning
Sort
View
128
Voted
ECAI
2000
Springer
15 years 8 months ago
Learning to Use Operational Advice
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
Johannes Fürnkranz, Bernhard Pfahringer, Herm...
ACL
2008
15 years 5 months ago
Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
Verena Rieser, Oliver Lemon
123
Voted
AAAI
2010
15 years 5 months ago
Learning Simulation Control in General Game-Playing Agents
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...
Hilmar Finnsson, Yngvi Björnsson
133
Voted
TSMC
2008
146views more  TSMC 2008»
15 years 3 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
15 years 2 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...