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» Learning the required number of agents for complex tasks
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
ICIDS
2010
Springer
13 years 5 months ago
Emohawk: Learning Virtual Characters by Doing
Emohawk is a narrative-based serious game designed to be a supportive tool for teaching basics of virtual agents development at universities and high-schools. Emohawk is built util...
Michal Bída, Cyril Brom
ATAL
2009
Springer
14 years 2 months ago
Stigmergic reasoning over hierarchical task networks
Stigmergy is usually associated with semantically simple problems such as routing. It can be applied to more complex problems by encoding them in the environment through which sti...
H. Van Dyke Parunak, Theodore C. Belding, Robert B...
AAAI
2010
13 years 9 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...
TPLP
2002
99views more  TPLP 2002»
13 years 7 months ago
Using Methods of Declarative Logic Programming for Intelligent Information Agents
At present, the search for specific information on the World Wide Web is faced with several problems, which arise on the one hand from the vast number of information sources avail...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...