Chandrashekar Lakshminarayanan

CoRR, 2024

2023

Approximate Linear Programming and Decentralized Policy Improvement in Cooperative Multi-agent Markov Decision Processes.

[BibT_eX]

[DOI]

Lakshmi Mandal

CoRR, 2023

Unsupervised Concept Tagging of Mathematical Questions from Student Explanations.

[BibT_eX]

[DOI]

K. M. Shabana

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality.

[BibT_eX]

[DOI]

Arun Rajkumar

CoRR, 2022

CurriculumTutor: An Adaptive Algorithm for Mastering a Curriculum.

[BibT_eX]

[DOI]

K. M. Shabana

Jude K. Anil

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Disentangling deep neural networks with rectified linear units using duality.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Deep Gated Networks: A framework to understand training and generalisation in deep learning.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

A Linearly Relaxed Approximate Linear Program for Markov Decision Processes.

[BibT_eX]

[DOI]

Csaba Szepesvári

IEEE Trans. Autom. Control., 2018

Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?

[BibT_eX]

[DOI]

Csaba Szepesvári

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging.

[BibT_eX]

[DOI]

Csaba Szepesvári

CoRR, 2017

A stability criterion for two timescale stochastic approximation schemes.

[BibT_eX]

[DOI]

Autom., 2017

Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.

[BibT_eX]

[DOI]

Sandeep Kumar

Sindhu Padakandla

Priyank Parihar

K. Gopinath

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.

[BibT_eX]

[DOI]

Sandeep Kumar

Sindhu Padakandla

Priyank Parihar

K. Gopinath

CoRR, 2016

Shaping Proto-Value Functions Using Rewards.

[BibT_eX]

[DOI]

Raj Kumar Maity

Sindhu Padakandla

Chandrashekar Lakshmi Narayanan

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Shaping Proto-Value Functions via Rewards.

[BibT_eX]

[DOI]

Raj Kumar Maity

CoRR, 2015

A Generalized Reduced Linear Program for Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Approximate Dynamic Programming based on Projection onto the (min, +) subsemimodule.

[BibT_eX]

[DOI]

CoRR, 2014

A Markov Decision Process Framework for Predictable Job Completion Times on Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Ayush Dubey

Chithralekha Balamurugan

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Approximate Dynamic Programming with (min; +) linear function approximation for Markov decision processes.

[BibT_eX]

[DOI]