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06/27/2023
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees
In this work, we introduce a new variant of online gradient descent, whi...
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04/25/2023
Provable benefits of general coverage conditions in efficient online RL with function approximation
In online reinforcement learning (RL), instead of employing standard str...
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09/22/2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
While Reinforcement Learning (RL) aims to train an agent from a reward f...
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09/22/2022
Proximal Point Imitation Learning
This work develops new algorithms with rigorous efficiency guarantees fo...
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09/15/2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration
This paper provides a theoretical study of deep neural function approxim...
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02/12/2022
Neural NID Rules
Abstract object properties and their relations are deeply rooted in huma...
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02/12/2022
Robust Learning from Observation with Model Misspecification
Imitation learning (IL) is a popular paradigm for training policies in r...
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07/02/2020
