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CIG
2005
IEEE
14 years 1 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
AI
2006
Springer
13 years 11 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa
AOIS
2004
13 years 9 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
14 years 1 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...
ICASSP
2008
IEEE
14 years 2 months ago
Using dialogue acts to learn better repair strategies for spoken dialogue systems
Repair or error-recovery strategies are an important design issue in Spoken Dialogue Systems (SDSs) - how to conduct the dialogue when there is no progress (e.g. due to repeated A...
Matthew Frampton, Oliver Lemon