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05/23/2023
Co-Learning Empirical Games and World Models
Game-based decision-making involves reasoning over both world dynamics a...
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02/09/2023
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
In iterative approaches to empirical game-theoretic analysis (EGTA), the...
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02/02/2023
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis
Empirical game-theoretic analysis (EGTA) is a general framework for reas...
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02/01/2023
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Multiagent reinforcement learning (MARL) has benefited significantly fro...
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12/02/2021
Empirical Game-Theoretic Analysis in Mean Field Games
We present a simulation-based approach for solution of mean field games ...
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09/14/2021
Designing a Combinatorial Financial Options Market
Financial options are contracts that specify the right to buy or sell an...
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06/03/2021
Iterative Empirical Game Solving via Single Policy Best Response
Policy-Space Response Oracles (PSRO) is a general algorithmic framework ...
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05/21/2021
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
In empirical game-theoretic analysis (EGTA), game models are extended it...
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09/29/2020
Learning to Play against Any Mixture of Opponents
Intuitively, experience playing against one mixture of opponents in a gi...
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01/16/2014
Multiattribute Auctions Based on Generalized Additive Independence
We develop multiattribute auctions that accommodate generalized additive...
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03/27/2013
Qualitative Probabilistic Networks for Planning Under Uncertainty
Bayesian networks provide a probabilistic semantics for qualitative asse...
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03/27/2013
The Role of Calculi in Uncertain Inference Systems
Much of the controversy about methods for automated decision making has ...
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03/27/2013
Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning
Functional dependencies restrict the potential interactions among variab...
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02/27/2013
State-space Abstraction for Anytime Evaluation of Probabilistic Networks
One important factor determining the computational complexity of evaluat...
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02/27/2013
The Automated Mapping of Plans for Plan Recognition
To coordinate with other agents in its environment, an agent needs model...
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02/13/2013
Toward a Market Model for Bayesian Inference
We present a methodology for representing probabilistic relationships in...
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02/06/2013
Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market
We consider the problem of belief aggregation: given a group of individu...
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01/30/2013
Using Qualitative Relationships for Bounding Probability Distributions
We exploit qualitative probabilistic relationships among variables for c...
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01/30/2013
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
Qualitative probabilistic reasoning in a Bayesian network often reveals ...
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01/23/2013
Graphical Representations of Consensus Belief
Graphical models based on conditional independence support concise encod...
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01/16/2013
Probabilistic State-Dependent Grammars for Plan Recognition
Techniques for plan recognition under uncertainty require a stochastic m...
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06/13/2012
Knowledge Combination in Graphical Multiagent Model
A graphical multiagent model (GMM) represents a joint distribution over ...
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02/14/2012
