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07/13/2023
Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative
Dialog policies, which determine a system's action based on the current ...
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05/26/2023
A Slingshot Approach to Learning in Monotone Games
In this paper, we address the problem of computing equilibria in monoton...
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05/23/2023
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
Learning in games considers how multiple agents maximize their own rewar...
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05/02/2023
Exploration of Unranked Items in Safe Online Learning to Re-Rank
Bandit algorithms for online learning to rank (OLTR) problems often aim ...
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02/02/2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Repeated games consider a situation where multiple agents are motivated ...
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09/09/2022
Fair Matrix Factorisation for Large-Scale Recommender Systems
Modern recommender systems are hedged with various requirements, such as...
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08/21/2022
Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games
The theory of learning in games is prominent in the AI community, motiva...
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06/18/2022
Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games
In this study, we consider a variant of the Follow the Regularized Leade...
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06/02/2022
Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes
Policy gradient (PG) is a reinforcement learning (RL) approach that opti...
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02/14/2022
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search
This paper considers the capacity expansion problem in two-sided matchin...
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10/23/2020
A Practical Guide of Off-Policy Evaluation for Bandit Problems
Off-policy evaluation (OPE) is the problem of estimating the value of a ...
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10/22/2020
Thresholded LASSO Bandit
In this paper, we revisit sparse stochastic contextual linear bandits. I...
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07/04/2020
Off-Policy Exploitability-Evaluation and Equilibrium-Learning in Two-Player Zero-Sum Markov Games
Off-policy evaluation (OPE) is the problem of evaluating new policies us...
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11/18/2019
