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ATAL
2004
Springer
13 years 10 months ago
Bayesian Reinforcement Learning for Coalition Formation under Uncertainty
Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of ...
Georgios Chalkiadakis, Craig Boutilier
ATAL
2008
Springer
13 years 6 months ago
Sequential decision making in repeated coalition formation under uncertainty
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
Georgios Chalkiadakis, Craig Boutilier
IJCAI
2007
13 years 6 months ago
Coalitional Bargaining with Agent Type Uncertainty
Coalition formation is a problem of great interest in AI, allowing groups of autonomous, individually rational agents to form stable teams. Automating the negotiations underlying ...
Georgios Chalkiadakis, Craig Boutilier
ATAL
2007
Springer
13 years 10 months ago
Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept
Coalition formation is a problem of great interest in AI, allowing groups of autonomous, rational agents to form stable teams. Furthermore, the study of coalitional stability conc...
Georgios Chalkiadakis, Evangelos Markakis, Craig B...

Publication
352views
14 years 8 days ago
Efficient methods for near-optimal sequential decision making under uncertainty
This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal se...
Christos Dimitrakakis