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Sriyash Poddar
sriyash [at] cs [dot] washington [dot] edu

I am a second year PhD student at the University of Washington advised by Abhishek Gupta and Natasha Jaques. I work at the intersection of reinforcement learning and robotics.

Before UW, I received my bachelors and masters from the Indian Institute of Technology Kharagpur, where I worked with Prof. P P Chakrabarti on multi-agent reinforcement learning. Over the summers, I had the pleasure of working with Prof. Siddhartha Srinivasa at the Personal Robotics Lab, Prof. Sarath Chandar at Mila - Quebec AI Insitute, and the Media and Data Science Research Lab at Adobe.

email   |   cv   |   github   |   google scholar

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News

  • [Oct 2024]

    Paper on learning from diverse preferences accepted at NeurIPS 2024 (spotlight).
  • [Mar 2024]

    TA-ing a class on Social Reinforcement Learning (CSE 599J) at UW.
  • [Oct 2023]

    Presented our paper on crowd motion prediction and robot navigation at IROS 2023.
  • [Sep 2023]

    Starting my PhD at the University of Washington in Seattle!

Publications
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar*, Yanming Wan*, Hamish Ivison, Abhishek Gupta^, Natasha Jaques^
NeurIPS 2024 (spotlight) .
paper   code   video

From Crowd Motion Prediction to Robot Navigation
Sriyash Poddar, Christoforos Mavrogiannis, Siddhartha S. Srinivasa
IROS 2023 .
paper   code   video

Winding Through: Crowd Navigation via Topological Invariance
Christoforos Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa R-AL 2023 and ICRA 2023 .
paper   video

Optimal sequential decision making with changing action space
Tanay Anand, Pinkesh Badjatiya, Sriyash Poddar, Jayakumar Subramanian, Georgios Theocharous, Balaji Krishnamurthy
US Patent App. 17/659,983, 2023 .

Services

Teaching Assistant: Social Reinforcement Learning (CSE599J)

University of Washington, Spring 2024

Teaching Assistant: Reinforcement Learning (CS60027)

IIT Kharagpur, Fall 2022

Reading Group: Reinforcement Learning and Robotics

Organizer, Fall, Spring 2020



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