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» A Computational Model for a Cooperating Agent System
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AAAI
2010
14 years 11 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...
AGI
2011
14 years 1 months ago
Compression and Intelligence: Social Environments and Communication
Compression has been advocated as one of the principles which pervades inductive inference and prediction - and, from there, it has also been recurrent in definitions and tests of...
David L. Dowe, José Hernández-Orallo...
WSC
2007
15 years 6 days ago
Agent-based modeling and simulation: desktop ABMS
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North
WSC
2008
15 years 6 days ago
Agent-based modeling and simulation: ABMS examples
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North
ATAL
2007
Springer
15 years 4 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek