News & Activities
July, 2023: Attending ICML in Honolulu to present Settling the Reward Hypothesis.
May, 2023: Attending Upperbound in Edmonton, Canada.
April, 2023: Appointed Adjunct Professor of Computing Science at the University of Alberta.
April, 2023: Settling the Reward Hypothesis, accepted to ICML 2023 as an oral!
March, 2023: Two ICLR workshop papers, led by Rafael Rafailov: [pdf-1], [pdf-2].
February, 2023: In Barbados for the RL Workshop on Lifelong Learning.
December, 2022: New paper on settling the reward hypothesis: [pdf].
December, 2022: Two NeurIPS workshop papers: [paper-1], [paper-2].
October, 2022: Talk at UMass Amherst.
September, 2022: Started as a research scientist at Intel AI.
August, 2022: Serving as a workflow chair for AAAI 2023.
May, 2022: Talk at RLDM Agency Workshop.
May, 2022: ICRA workshop paper: [pdf].
March, 2022: Three RLDM papers: [pdf-1], [pdf-2], [pdf-3].
February, 2022: Outstanding Reviewer award by the IEEE Journal of Oceanic Engineering.
December, 2021: Lecturing at the NAAMII Nepal Winter AI School. [Lecture 1 slides] [Lecture 2 slides]
May, 2021: Started a post-doc with Michael Bowling at the University of Alberta!
April, 2021: Sucessfully defended my PhD thesis! [pdf].
November, 2020: Talk at UC Berkeley.
July, 2020: Three IROS papers: [paper-1], [paper-2], [paper-3].
June, 2020: ICML paper: [paper].
May, 2020: Guest lecture at Stevens Institute of Technology. [slides]
March, 2020: Attended the Annual Machine Learning Symposium at the New York Academy of Sciences. [poster]
January, 2020: Interning with with Joseph Modayil at DeepMind in Edmonton, Canada.
November, 2019: Talk at MIT.
October, 2019: Talk at DeepMind in Edmonton, Canada.
October, 2019: Two NeurIPS workshop papers.
September, 2019: Talk at the American Alpine Club. [link]
August, 2019: Talk at Google Robotics in New York City.
July, 2019: Featured in the American Alpine Club journal from its Philadelphia chapter. [link]
March, 2019: Interning with Marc G. Bellemare at Google Brain.