Parameswaran Kamalaruban

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EPFL ∙ CSIRO

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

We study the inverse reinforcement learning (IRL) problem under the tran...
07/02/2020 ∙ by Luca Viano, et al. ∙ 0 ∙ share

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Interaction-limited Inverse Reinforcement Learning

This paper proposes an inverse reinforcement learning (IRL) framework to...
07/01/2020 ∙ by martin-troussard, et al. ∙ 0 ∙ share

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Environment Shaping in Reinforcement Learning using State Abstraction

One of the central challenges faced by a reinforcement learning (RL) age...
06/23/2020 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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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...
02/14/2020 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents

This article reviews recent advances in multi-agent reinforcement learni...
12/01/2019 ∙ by Donghwan Lee, et al. ∙ 0 ∙ share

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Interactive Teaching Algorithms for Inverse Reinforcement Learning

We study the problem of inverse reinforcement learning (IRL) with the ad...
05/28/2019 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Iterative Classroom Teaching

We consider the machine teaching problem in a classroom-like setting whe...
11/08/2018 ∙ by Teresa Yeo, et al. ∙ 0 ∙ share

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d_X-Private Mechanisms for Linear Queries

Differential Privacy is one of the strongest privacy guarantees, which a...
06/06/2018 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Transitions, Losses, and Re-parameterizations: Elements of Prediction Games

This thesis presents some geometric insights into three different types ...
05/20/2018 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Exp-Concavity of Proper Composite Losses

The goal of online prediction with expert advice is to find a decision s...
05/20/2018 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Minimax Lower Bounds for Cost Sensitive Classification

The cost-sensitive classification problem plays a crucial role in missio...
05/20/2018 ∙ by Parameswaran Kamalaruban, et al. ∙ 0 ∙ share

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Efficient and Consistent Robust Time Series Analysis

We study the problem of robust time series analysis under the standard a...
07/01/2016 ∙ by Kush Bhatia, et al. ∙ 0 ∙ share

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Parameswaran Kamalaruban

Featured Co-authors

Volkan Cevher

Prateek Jain

Adish Singla

Sylvain Calinon

Purushottam Kar

Niao He

Mohamed Ali Kaafar

Robert C. Williamson

Xinhua Zhang

Emmanuel Pignat

Kush Bhatia

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

Interaction-limited Inverse Reinforcement Learning

Environment Shaping in Reinforcement Learning using State Abstraction

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents

Interactive Teaching Algorithms for Inverse Reinforcement Learning

Iterative Classroom Teaching

d_X-Private Mechanisms for Linear Queries

Transitions, Losses, and Re-parameterizations: Elements of Prediction Games

Exp-Concavity of Proper Composite Losses

Minimax Lower Bounds for Cost Sensitive Classification

Efficient and Consistent Robust Time Series Analysis