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AAMAS
2007
Springer
15 years 6 months ago
Shaping multi-agent systems with gradient reinforcement learning
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Olivier Buffet, Alain Dutech, François Char...
IIE
2008
88views more  IIE 2008»
15 years 6 months ago
Development of Generative Learning Objects Using Feature Diagrams and Generative Techniques
Abstract. Learning Objects (LOs) play a key role for supporting eLearning. In general, however, the development of LOs remains a vague issue, because there is still no clearly defi...
Vytautas Stuikys, Robertas Damasevicius
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 6 months ago
Instrumented Collective Learning Situations (ICLS): the Gap between Theoretical Research and Observed Practices
: According to socio-constructivism approach, collective situations are promoted to favor learning in classroom, at a distance or in a blended educational context. So, many Informa...
Christine Michel, Élise Garrot, Séba...
JAIR
2002
99views more  JAIR 2002»
15 years 6 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...
IJRR
2008
139views more  IJRR 2008»
15 years 6 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal