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84
Voted
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
ICLP
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds: qualitative, quantitative, conditional, positive or negative, to name...
AI
2010
Springer
14 years 6 months ago
2010
Springer
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
AAAI
1998
14 years 11 months ago
1998
The technology for building large knowledge bases (KBs) is yet to witness a breakthrough so that a KB can be constructed by the assembly of prefabricated knowledge components. Kno...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
In a dynamic market, being able to update one’s value based on information available to other bidders currently in the market can be critical to having profitable transactions. ...