Bhavya Sukhija

PhD at ETH Zürich.

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OAT Y19, ETH Zürich

Hi!

I am pursuing a PhD in computer science at ETH Zürich. I am co-supervised by Prof. Andreas Krause and Prof. Stelian Coros. My research interests are Reinforcement learning (RL): model-based RL, nonepisodic RL, safe RL, meta RL, continuous time RL, exploration (multimodal) in RL, active learning and robotics.

I am currently a visiting researcher at University of California, Berkeley at the Berkeley Robot Learning lab where I am supervised by Prof. Pieter Abbeel.

Prior to my PhD I completed a BSc in Mechanical Engineering and a masters in Robotics at ETH. I completed my master thesis at the RWTH Aachen university under the supervision of Prof. Dominik Baumann, Prof. Sebastian Trimpe, and Prof. Andreas Krause. I received the ETH medal for my thesis.

Besides research, I enjoy playing football and support Liverpool FC.

News

Jul 1, 2024 Started as a visiting research in University of California, Berkeley at the Berkeley Robot Learning lab under the supervision of Dr. Carlo Sferrazza and Prof. Pieter Abbeel.
Jun 30, 2024 Sim-FSVGD got accepted as oral presentation at IROS 2024.
Feb 29, 2024 My great master student (now PhD at LAS), Jonas Hübotter, is awarded the ETH medal for his master thesis.

Selected publications

  1. nonepisodic_rl.jpeg
    NeoRL: Efficient Exploration for Nonepisodic RL
    Bhavya Sukhija, Lenart Treven, Florian Dörfler, and 2 more authors
    Proc. Neural Information Processing Systems (NeurIPS), 2024
    Spotlight
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    Bridging the Sim-to-Real Gap with Bayesian Inference
    Jonas Rothfuss*, Bhavya Sukhija*, Lenart Treven*, and 3 more authors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    Oral presentation
  3. opax_intro.png
    Optimistic Active Exploration of Dynamical Systems
    Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, and 3 more authors
    In Proc. Neural Information Processing Systems (NeurIPS), 2023
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    GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems
    Bhavya Sukhija, Matteo Turchetta, David Lindner, and 3 more authors
    Artificial Intelligence Journal (AIJ), 2023
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    Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
    Jonas Rothfuss*, Bhavya Sukhija*, Tobias Birchler*, and 2 more authors
    In Conference on Uncertainty in Artificial Intelligence (UAI), 2023
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    Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
    Daniel Widmer*, Dongho Kang*, Bhavya Sukhija, and 3 more authors
    In Conference on Robot Learning (CoRL), 2023
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    Gradient-Based Trajectory Optimization With Learned Dynamics
    Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, and 4 more authors
    IEEE International Conference on Robotics and Automation (ICRA), 2023