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» Learning and Classification of Complex Dynamics
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118
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AAAI
2010
15 years 3 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
133
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ATAL
2010
Springer
15 years 3 months ago
Self-organization for coordinating decentralized reinforcement learning
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
VLDB
2004
ACM
155views Database» more  VLDB 2004»
15 years 7 months ago
AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Andreas Thor, Erhard Rahm
ESAW
2008
Springer
15 years 4 months ago
Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Reactive multi-agent systems present global behaviours uneasily linked to their local dynamics. When it comes to controlling such a system, usual analytical tools are difficult to ...
François Klein, Christine Bourjot, Vincent ...
CHI
2011
ACM
14 years 6 months ago
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Little research exists on one of the most common, oldest, and most utilized forms of online social geographic information: the “location” field found in most virtual community...
Brent Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi