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SASO
2008
IEEE
15 years 11 months ago
Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems
As organization-based multiagent systems are applied to more complex problems, configuring and tuning the systems can become nearly as complex as the original problem a system wa...
Scott J. Harmon, Scott A. DeLoach, Robby, Doina Ca...
AAAI
2010
15 years 6 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
133
Voted
AAMAS
2007
Springer
15 years 5 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...
136
Voted
IIE
2008
88views more  IIE 2008»
15 years 5 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 5 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...