Bhavya Sukhija

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 21

Top Topics

Dynamical Systems

Bayesian Inference

Legged Locomotion

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning. IEEE Robotics Autom. Lett. 9 (4) (2024)
Fabrizio Di Giuro, Fatemeh Zargarbashi, Jin Cheng, Dongho Kang, Bhavya Sukhija, Stelian Coros
Meta-Reinforcement Learning for Universal Quadrupedal Locomotion Control. CoRR (2024)
Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
NeoRL: Efficient Exploration for Nonepisodic RL. CoRR (2024)
Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
Bridging the Sim-to-Real Gap with Bayesian Inference. CoRR (2024)
Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. CoRR (2024)
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
Information-based Transductive Active Learning. CoRR (2024)
Yarden As, Bhavya Sukhija, Andreas Krause
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization. CoRR (2024)
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
Active Few-Shot Fine-Tuning. CoRR (2024)
Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRR (2023)
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning. CoRR (2023)
Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros
Gradient-Based Trajectory Optimization With Learned Dynamics. ICRA (2023)
Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRL (2023)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. 320 (2023)
Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation. CoRR (2023)
Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. NeurIPS (2023)
Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
Hallucinated adversarial control for conservative offline policy evaluation. UAI (2023)
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
Optimistic Active Exploration of Dynamical Systems. CoRR (2023)
Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. CoRR (2023)
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
Optimistic Active Exploration of Dynamical Systems. NeurIPS (2023)
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR (2022)
Nathanael Köhler, Bhavya Sukhija, Miguel Zamora, Simon Zimmermann, Stelian Coros
Trajectory Optimization Using Neural Network Gradients of Learned Dynamics. CoRR (2022)