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AAAI
2015
10 years 1 months ago
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty
Markov Decision Problems, MDPs offer an effective mechanism for planning under uncertainty. However, due to unavoidable uncertainty over models, it is difficult to obtain an exac...
Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahme...
AAAI
2015
10 years 1 months ago
The Pricing War Continues: On Competitive Multi-Item Pricing
We study a game with strategic vendors (the agents) who own multiple items and a single buyer with a submodular valuation function. The goal of the vendors is to maximize their re...
Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. R...
AAAI
2015
10 years 1 months ago
Obtaining Well Calibrated Probabilities Using Bayesian Binning
Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in artificial intelligence. In this paper we present a...
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Ha...
AAAI
2015
10 years 1 months ago
Limitations of Front-To-End Bidirectional Heuristic Search
We present an intuitive explanation for the limited effectiveness of front-to-end bidirectional heuristic search, supported with extensive evidence from many commonly-studied doma...
Joseph Kelly Barker, Richard E. Korf
AAAI
2015
10 years 1 months ago
Pareto Ensemble Pruning
Ensemble learning is among the state-of-the-art learning techniques, which trains and combines many base learners. Ensemble pruning removes some of the base learners of an ensembl...
Chao Qian, Yang Yu, Zhi-Hua Zhou