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02/01/2023
Selective Uncertainty Propagation in Offline RL
We study the finite-horizon offline reinforcement learning (RL) problem....
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11/15/2022
Multi-Player Bandits Robust to Adversarial Collisions
Motivated by cognitive radios, stochastic Multi-Player Multi-Armed Bandi...
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08/29/2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
To understand the security threats to reinforcement learning (RL) algori...
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02/15/2021
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
This paper studies bandit algorithms under data poisoning attacks in a b...
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01/05/2021
Sequential Choice Bandits with Feedback for Personalizing users' experience
In this work, we study sequential choice bandits with feedback. We propo...
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11/21/2020
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
We study the problem of learning-based attacks in linear systems, where ...
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04/26/2019
Towards a Non-Stochastic Information Theory
The δ-mutual information between uncertain variables is introduced as a ...
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10/23/2018
Online learning with feedback graphs and switching costs
We study online learning when partial feedback information is provided f...
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10/23/2018
Unifying the stochastic and the adversarial Bandits with Knapsack
This paper investigates the adversarial Bandits with Knapsack (BwK) onli...
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09/12/2018
