Bhavya Sukhija

According to our database, Bhavya Sukhija authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning.

Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause

IEEE Robotics Autom. Lett., 2024

Bridging the Sim-to-Real Gap with Bayesian Inference.

Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause

CoRR, 2024

Information-based Transductive Active Learning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

Active Few-Shot Fine-Tuning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

2023

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann

Artif. Intell., July, 2023

Hallucinated adversarial control for conservative offline policy evaluation.

Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient Exploration in Continuous-time Model-based Reinforcement Learning.

Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimistic Active Exploration of Dynamical Systems.

Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gradient-Based Trajectory Optimization With Learned Dynamics.

Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tuning Legged Locomotion Controllers via Safe Bayesian Optimization.

Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros

Proceedings of the Conference on Robot Learning, 2023

2022

Trajectory Optimization Using Neural Network Gradients of Learned Dynamics.

Nathanael Köhler, Bhavya Sukhija, Miguel Zamora, Simon Zimmermann, Stelian Coros

CoRR, 2022

Scalable Safe Exploration for Global Optimization of Dynamical Systems.

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann

CoRR, 2022