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Bhavya Sukhija
Bhavya Sukhija
Doctoral Student, ETH Zürich
Bestätigte E-Mail-Adresse bei ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems
B Sukhija, M Turchetta, D Lindner, A Krause, S Trimpe, D Baumann
Artificial Intelligence 320, 103922, 2023
172023
Hallucinated adversarial control for conservative offline policy evaluation
J Rothfuss, B Sukhija, T Birchler, P Kassraie, A Krause
Uncertainty in Artificial Intelligence, 1774-1784, 2023
82023
Tuning legged locomotion controllers via safe bayesian optimization
D Widmer, D Kang, B Sukhija, J Hübotter, A Krause, S Coros
Conference on Robot Learning, 2444-2464, 2023
52023
Optimistic Active Exploration of Dynamical Systems
B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause
arXiv preprint arXiv:2306.12371, 2023
42023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
A Bhardwaj, J Rothfuss, B Sukhija, Y As, M Hutter, S Coros, A Krause
IEEE Robotics and Automation Letters, 2024
22024
Gradient-based trajectory optimization with learned dynamics
B Sukhija, N Köhler, M Zamora, S Zimmermann, S Curi, A Krause, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 1011-1018, 2023
22023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
L Treven, J Hübotter, F Dorfler, A Krause
Advances in Neural Information Processing Systems 36, 2024
12024
Bridging the Sim-to-Real Gap with Bayesian Inference
J Rothfuss, B Sukhija, L Treven, F Dörfler, S Coros, A Krause
arXiv preprint arXiv:2403.16644, 2024
2024
Information-based Transductive Active Learning
J Hübotter, B Sukhija, L Treven, Y As, A Krause
arXiv preprint arXiv:2402.15898, 2024
2024
Active Few-Shot Fine-Tuning
J Hübotter, B Sukhija, L Treven, Y As, A Krause
arXiv preprint arXiv:2402.15441, 2024
2024
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