Bhavya Sukhija

OAT Y19, ETH Zürich

Hi!

I am currently 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, Safe learning, and Robotics. Prior to my PhD I completed a BSc in Mechanical Engineering at ETH and a masters in Robotics at ETH as well.

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

Latest posts

Jul 1, 2023	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Jun 21, 2023	Optimistic Active Exploration of Dynamical Systems
Feb 1, 2023	Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

Selected publications

Optimistic Active Exploration of Dynamical Systems

Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, and 3 more authors

In Proc. Neural Information Processing Systems (NeurIPS), 2023

Bib Link Blog

@inproceedings{opax,
  title = {Optimistic Active Exploration of Dynamical Systems},
  author = {Sukhija, Bhavya and Treven, Lenart and Sancaktar, Cansu and Blaes, Sebastian and Coros, Stelian and Krause, Andreas},
  booktitle = {Proc. Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  eprint = {2306.12371},
}

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

Bib Link Blog

@article{SUKHIJA2023103922,
  title = {GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems},
  journal = {Artificial Intelligence Journal (AIJ)},
  volume = {320},
  pages = {103922},
  year = {2023},
  author = {Sukhija, Bhavya and Turchetta, Matteo and Lindner, David and Krause, Andreas and Trimpe, Sebastian and Baumann, Dominik},
  url = {https://www.sciencedirect.com/science/article/pii/S0004370223000681},
}

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

Bib Link Blog

@inproceedings{rothfuss2023hallucinated,
  title = {Hallucinated Adversarial Control for Conservative Offline Policy Evaluation},
  author = {Rothfuss*, Jonas and Sukhija*, Bhavya and Birchler*, Tobias and Kassraie, Parnian and Krause, Andreas},
  year = {2023},
  booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
}

Tuning Legged Locomotion Controllers via Safe Bayesian Optimization

Daniel Widmer*, Dongho Kang*, Bhavya Sukhija, and 3 more authors

In , 2023

Bib Link Blog

@inproceedings{widmer2023tuning,
  title = {Tuning Legged Locomotion Controllers via Safe Bayesian Optimization},
  author = {Widmer*, Daniel and Kang*, Dongho and Sukhija, Bhavya and H\"ubotter, Jonas and Krause, Andreas and Coros, Stelian},
  year = {2023},
  journal = {Proc. Conference on Robot Learning (CoRL)},
}

Efficient Exploration in Continuous-time Model-based Reinforcement Learning

Lenart Treven, Jonas Hübotter, Bhavya Sukhija, and 2 more authors

In Proc. Neural Information Processing Systems (NeurIPS), Dec 2023

Link PDF

Gradient-Based Trajectory Optimization With Learned Dynamics

Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, and 4 more authors

Dec 2023

Bib Link Blog

@article{sukhija2022gradientbased,
  title = {Gradient-Based Trajectory Optimization With Learned Dynamics},
  author = {Sukhija, Bhavya and K\"ohler, Nathanael and Zamora, Miguel and Zimmermann, Simon and Curi, Sebastian and Krause, Andreas and Coros, Stelian},
  year = {2023},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
}