• Associate Professor, Electrical & Computer Engineering
  • Holleran-Bowman Faculty Fellow
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Dileep Kalathil

Educational Background

  • Postdoctoral Scholar, Electrical Engineering and Computer Sciences, University of California, Berkeley – 2014-2017
  • Ph.D., Electrical Engineering, University of Southern California – 2014
  • M.Tech., Electrical Engineering, Indian Institute of Technology Madras – 2008
  • B.Tech., Electronics and Communications Engineering, National Institute of Technology Calicut – 2006

Research Interests

    • Reinforcement learning,
    • Control theory
    • Robotics
    • Cyber-physical systems

Selected Publications

  • Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh, “Robust Reinforcement Learning using Offline Data”, Neural Information Processing Systems (NeurIPS), 2022.
  • Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian, “Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation”, Neural Information Processing Systems (NeurIPS), 2023.
  • Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland, “DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning”, Neural Information Processing Systems (NeurIPS), 2022.
  • Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep Kalathil, Srinivas Shakkottai, “Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration”, International Conference on Learning Representations (ICLR), 2022.
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