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154views
14 years 9 months ago
Preference elicitation and inverse reinforcement learning
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
Constantin Rothkopf, Christos Dimitrakakis
ATAL
2011
Springer
14 years 6 months ago
Forgetting through generalisation: a companion with selective memory
This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selectiv...
Mei Yii Lim, Ruth Aylett, Patrícia Amâ...
AAAI
2012
13 years 9 months ago
Optimal Auctions for Spiteful Bidders
Designing revenue-optimal auctions for various settings is perhaps the most important, yet sometimes most elusive, problem in mechanism design. Spiteful bidders have been intensel...
Pingzhong Tang, Tuomas Sandholm
JAIR
2010
82views more  JAIR 2010»
15 years 5 months ago
Non-Transferable Utility Coalitional Games via Mixed-Integer Linear Constraints
Coalitional games serve the purpose of modeling payoff distribution problems in scenarios where agents can collaborate by forming coalitions in order to obtain higher worths than...
Gianluigi Greco, Enrico Malizia, Luigi Palopoli, F...
AAAI
2011
14 years 6 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei