Shagun Sodhani

According to our database, Shagun Sodhani authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Motif: Intrinsic Motivation from Artificial Intelligence Feedback.

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TorchRL: A data-driven decision-making library for PyTorch.

Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do Large Language Models Know How Much They Know?

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Improving Generalization with Approximate Factored Value Functions.

Shagun Sodhani, Sergey Levine, Amy Zhang

Trans. Mach. Learn. Res., 2023

Sequence Modeling is a Robust Contender for Offline Reinforcement Learning.

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

CoRR, 2023

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EpiK-Eval: Evaluation for Language Models as Epistemic Models.

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

An Introduction to Lifelong Supervised Learning.

Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar

CoRR, 2022

Block Contextual MDPs for Continual Learning.

Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang

Proceedings of the Learning for Dynamics and Control Conference, 2022

Robust Policy Learning over Multiple Uncertainty Sets.

Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang

Proceedings of the International Conference on Machine Learning, 2022

The Neural Race Reduction: Dynamics of Abstraction in Gated Networks.

Andrew M. Saxe, Shagun Sodhani, Sam Jay Lewallen

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-Task Reinforcement Learning with Context-based Representations.

Shagun Sodhani, Amy Zhang, Joelle Pineau

Proceedings of the 38th International Conference on Machine Learning, 2021

Recurrent Independent Mechanisms.

Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Robust State Abstractions for Hidden-Parameter Block MDPs.

Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

Proceedings of the 9th International Conference on Learning Representations, 2021

IIRC: Incremental Implicitly-Refined Classification.

Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Toward Training Recurrent Neural Networks for Lifelong Learning.

Shagun Sodhani, Sarath Chandar, Yoshua Bengio

Neural Comput., 2020

A Closer Look at Codistillation for Distributed Training.

Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat

CoRR, 2020

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop.

Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe

CoRR, 2020

Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP.

Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

CoRR, 2020

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung

CoRR, 2020

Evaluating Logical Generalization in Graph Neural Networks.

Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton

CoRR, 2020

Invariant Causal Prediction for Block MDPs.

Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

Proceedings of the 37th International Conference on Machine Learning, 2020

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.

Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Attending Over Triads for Learning Signed Network Embedding.

Shagun Sodhani, Meng Qu, Jian Tang

Frontiers Big Data, 2019

Learning Powerful Policies by Using Consistent Dynamics Model.

Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang

CoRR, 2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text.

Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Environments for Lifelong Reinforcement Learning.

Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup

CoRR, 2018

On Training Recurrent Neural Networks for Lifelong Learning.

Shagun Sodhani, Sarath Chandar, Yoshua Bengio

CoRR, 2018

Compositional Language Understanding with Text-based Relational Reasoning.

Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau

CoRR, 2018

Spatial Co-location Pattern Mining - A new perspective using Graph Database.

Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel

CoRR, 2018

Memory Augmented Self-Play.

Shagun Sodhani, Vardaan Pahuja

CoRR, 2018

Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering".

Shagun Sodhani, Vardaan Pahuja

CoRR, 2018

Improving Search Through A3C Reinforcement Learning Based Conversational Agent.

Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy

Proceedings of the Computational Science - ICCS 2018, 2018

News Category Network based Approach for News Source Recommendations.

Swati Gupta, Shagun Sodhani, Dhaval Patel, Biplab Banerjee

Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017

Survey of Recent Advances in Visual Question Answering.

Supriya Pandhre, Shagun Sodhani

CoRR, 2017

Reinforcement Learning Based Conversational Search Assistant.

Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy

CoRR, 2017

2015

Stack Exchange Tagger.

Sanket Vaibhav Mehta, Shagun Sodhani

CoRR, 2015