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04/25/2023
Proximal Curriculum for Reinforcement Learning Agents
We consider the problem of curriculum design for reinforcement learning ...
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04/13/2023
Learning Personalized Decision Support Policies
Individual human decision-makers may benefit from different forms of sup...
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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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06/08/2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications
We consider the problem of teaching via demonstrations in sequential dec...
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07/02/2020
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
We study the inverse reinforcement learning (IRL) problem under the tran...
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07/01/2020
Interaction-limited Inverse Reinforcement Learning
This paper proposes an inverse reinforcement learning (IRL) framework to...
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06/23/2020
Environment Shaping in Reinforcement Learning using State Abstraction
One of the central challenges faced by a reinforcement learning (RL) age...
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02/14/2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
We introduce a sampling perspective to tackle the challenging task of tr...
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12/01/2019
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
This article reviews recent advances in multi-agent reinforcement learni...
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05/28/2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning
We study the problem of inverse reinforcement learning (IRL) with the ad...
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11/08/2018
Iterative Classroom Teaching
We consider the machine teaching problem in a classroom-like setting whe...
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06/06/2018
d_X-Private Mechanisms for Linear Queries
Differential Privacy is one of the strongest privacy guarantees, which a...
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05/20/2018
Transitions, Losses, and Re-parameterizations: Elements of Prediction Games
This thesis presents some geometric insights into three different types ...
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05/20/2018
Exp-Concavity of Proper Composite Losses
The goal of online prediction with expert advice is to find a decision s...
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05/20/2018
Minimax Lower Bounds for Cost Sensitive Classification
The cost-sensitive classification problem plays a crucial role in missio...
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07/01/2016