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08/20/2023
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games
Training agents in multi-agent competitive games presents significant ch...
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06/07/2023
Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis
In many choice modeling applications, people demand is frequently charac...
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01/28/2023
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
This work studies Stackelberg network interdiction games – an important ...
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01/27/2023
Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties
Constrained Reinforcement Learning has been employed to enforce safety c...
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10/30/2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Recent research on vulnerabilities of deep reinforcement learning (RL) h...
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08/20/2022
Weighted Maximum Entropy Inverse Reinforcement Learning
We study inverse reinforcement learning (IRL) and imitation learning (IM...
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05/31/2022
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Distributionally robust optimization (DRO) has shown lot of promise in p...
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04/25/2022
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Vaccine delivery in under-resourced locations with security risks is not...
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12/31/2021
Robust Entropy-regularized Markov Decision Processes
Stochastic and soft optimal policies resulting from entropy-regularized ...
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08/18/2020
A Relation Analysis of Markov Decision Process Frameworks
We study the relation between different Markov Decision Process (MDP) fr...
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05/08/2020
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models
We study the routing policy choice problems in a stochastic time-depende...
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12/19/2019
Robust Multi-product Pricing under General Extreme Value Models
We study robust versions of pricing problems where customers choose prod...
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11/16/2019
Inverse Reinforcement Learning with Missing Data
We consider the problem of recovering an expert's reward function with i...
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11/16/2019