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01/03/2022
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand
Many past attempts at modeling repeated Cournot games assume that demand...
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05/22/2020
Regulating Artificial Intelligence: Proposal for a Global Solution
With increasing ubiquity of artificial intelligence (AI) in modern socie...
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05/03/2020
Reinforcement Learning for Decentralized Stable Matching
When it comes to finding a match/partner in the real world, it is usuall...
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06/20/2017
The Complexity of Campaigning
In "The Logic of Campaigning", Dean and Parikh consider a candidate maki...
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01/26/2017
Ethical Considerations in Artificial Intelligence Courses
The recent surge in interest in ethics in artificial intelligence may le...
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01/16/2014
Topological Value Iteration Algorithms
Value iteration is a powerful yet inefficient algorithm for Markov decis...
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01/15/2014
The Computational Complexity of Dominance and Consistency in CP-Nets
We investigate the computational complexity of testing dominance and con...
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09/26/2013
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes
This paper is devoted to fair optimization in Multiobjective Markov Deci...
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02/06/2013
The Complexity of Plan Existence and Evaluation in Probabilistic Domains
We examine the computational complexity of testing and finding small pla...
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01/23/2013