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Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
We study the inverse reinforcement learning (IRL) problem under the tran...
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Interaction-limited Inverse Reinforcement Learning
This paper proposes an inverse reinforcement learning (IRL) framework to...
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Environment Shaping in Reinforcement Learning using State Abstraction
One of the central challenges faced by a reinforcement learning (RL) age...
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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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Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
This article reviews recent advances in multi-agent reinforcement learni...
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Interactive Teaching Algorithms for Inverse Reinforcement Learning
We study the problem of inverse reinforcement learning (IRL) with the ad...
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Iterative Classroom Teaching
We consider the machine teaching problem in a classroom-like setting whe...
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d_X-Private Mechanisms for Linear Queries
Differential Privacy is one of the strongest privacy guarantees, which a...
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Transitions, Losses, and Re-parameterizations: Elements of Prediction Games
This thesis presents some geometric insights into three different types ...
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Exp-Concavity of Proper Composite Losses
The goal of online prediction with expert advice is to find a decision s...
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Minimax Lower Bounds for Cost Sensitive Classification
The cost-sensitive classification problem plays a crucial role in missio...
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Efficient and Consistent Robust Time Series Analysis
We study the problem of robust time series analysis under the standard a...
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