Parameswaran Kamalaruban | DeepAI

DeepAI AI Chat

Featured Co-authors

Volkan Cevher
102 publications
Adrian Weller
101 publications
Prateek Jain
87 publications
Subramanian Ramamoorthy
77 publications
Adish Singla
62 publications
Ameet Talwalkar
59 publications
Niao He
45 publications
Sylvain Calinon
43 publications
Purushottam Kar
32 publications
Umang Bhatt
31 publications
Mohamed Ali Kaafar
31 publications

∙ 04/25/2023

Proximal Curriculum for Reinforcement Learning Agents

We consider the problem of curriculum design for reinforcement learning ...

0 Georgios Tzannetos, et al. ∙

∙ 04/13/2023

Learning Personalized Decision Support Policies

Individual human decision-makers may benefit from different forms of sup...

0 Umang Bhatt, et al. ∙

∙ 02/12/2022

Robust Learning from Observation with Model Misspecification

Imitation learning (IL) is a popular paradigm for training policies in r...

11 Luca Viano, et al. ∙

∙ 06/08/2021

Curriculum Design for Teaching via Demonstrations: Theory and Applications

We consider the problem of teaching via demonstrations in sequential dec...

0 Gaurav Yengera, et al. ∙

∙ 07/02/2020

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch

We study the inverse reinforcement learning (IRL) problem under the tran...

0 Luca Viano, et al. ∙

∙ 07/01/2020

Interaction-limited Inverse Reinforcement Learning

This paper proposes an inverse reinforcement learning (IRL) framework to...

0 martin-troussard, et al. ∙

∙ 06/23/2020

Environment Shaping in Reinforcement Learning using State Abstraction

One of the central challenges faced by a reinforcement learning (RL) age...

0 Parameswaran Kamalaruban, et al. ∙

∙ 02/14/2020

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

We introduce a sampling perspective to tackle the challenging task of tr...

0 Parameswaran Kamalaruban, et al. ∙

∙ 12/01/2019

Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents

This article reviews recent advances in multi-agent reinforcement learni...

0 Donghwan Lee, et al. ∙

∙ 05/28/2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning

We study the problem of inverse reinforcement learning (IRL) with the ad...

0 Parameswaran Kamalaruban, et al. ∙

∙ 11/08/2018

Iterative Classroom Teaching

We consider the machine teaching problem in a classroom-like setting whe...

1 Teresa Yeo, et al. ∙

∙ 06/06/2018

d_X-Private Mechanisms for Linear Queries

Differential Privacy is one of the strongest privacy guarantees, which a...

0 Parameswaran Kamalaruban, et al. ∙

∙ 05/20/2018

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

This thesis presents some geometric insights into three different types ...

0 Parameswaran Kamalaruban, et al. ∙

∙ 05/20/2018

Exp-Concavity of Proper Composite Losses

The goal of online prediction with expert advice is to find a decision s...

0 Parameswaran Kamalaruban, et al. ∙

∙ 05/20/2018

Minimax Lower Bounds for Cost Sensitive Classification

The cost-sensitive classification problem plays a crucial role in missio...

0 Parameswaran Kamalaruban, et al. ∙

∙ 07/01/2016

Efficient and Consistent Robust Time Series Analysis

We study the problem of robust time series analysis under the standard a...

0 Kush Bhatia, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world