I focus on research to build embodied agents that solve tasks in a robust manner, exhibit intrinsic motivation, and agency. I currently work on Reinforcement Learning at the University of Freiburg. Before that I have worked machine learning engineer and software engineer.

Here’s my updated resume.You can also find my sporadically updated blog posts here.

Open for collaboration, send me an email if you wish to collabrate with me!

Selected Publications

  • Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
    Sai Prasanna*, Karim Farid*, Raghu Rajan, and André Biedenkapp
    Reinforcement Learning Journal, vol. 3, 2024, pp. 1317–1350. Presented at RLC 2024 and accepted to EWRL 2024.

    CODE ARXIV LINK
  • Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation
    Sai Prasanna*, Daniel Honerkamp*, Kshitij Sirohi*, Tim Welschehold, Wolfram Burgard, and Abhinav Valada
    ISRR 2024

    CODE ARXIV LINK
  • When BERT plays the lottery, all tickets are winning
    Sai Prasanna, Anna Rogers, and Anna Rumshisky
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3208–3229, Online. Association for Computational Linguistics.

    CODE ARXIV LINK
  • Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining
    Sai Prasanna and Sri Ananda Seelan
    In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1282–1286, Minneapolis, Minnesota, USA. Association for Computational Linguistics.

    CODE ARXIV LINK