Bhavya Sukhija

33 papers A* 8A 2Misc 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. ICLR Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause
2025	J	`jnl`	Learning Soft Robotic Dynamics with Active Exploration. CoRR Hehui Zheng, Bhavya Sukhija, Chenhao Li, Klemens Iten, Andreas Krause, Robert K. Katzschmann
2025	A*	`conf`	MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization. ICLR Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
2025	J	`jnl`	SOMBRL: Scalable and Optimistic Model-Based RL. CoRR Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Florian Dörfler, Pieter Abbeel, Andreas Krause
2025	J	`jnl`	Sample-efficient and Scalable Exploration in Continuous-Time RL. CoRR Klemens Iten, Lenart Treven, Bhavya Sukhija, Florian Dörfler, Andreas Krause
2025	J	`jnl`	Simulation Priors for Data-Efficient Deep Learning. CoRR Lenart Treven, Bhavya Sukhija, Jonas Rothfuss, Stelian Coros, Florian Dörfler, Andreas Krause
2024	J	`jnl`	ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. CoRR Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause
2024	J	`jnl`	Active Few-Shot Fine-Tuning. CoRR Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024	A	`conf`	Bridging the Sim-to-Real Gap with Bayesian Inference. IROS Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	Bridging the Sim-to-Real Gap with Bayesian Inference. CoRR Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning. IEEE Robotics Autom. Lett. Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2024	J	`jnl`	Information-based Transductive Active Learning. CoRR Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024	J	`jnl`	MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization. CoRR Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
2024	J	`jnl`	Meta-Reinforcement Learning for Universal Quadrupedal Locomotion Control. CoRR Fabrizio Di Giuro, Fatemeh Zargarbashi, Jin Cheng, Dongho Kang, Bhavya Sukhija, Stelian Coros
2024	A*	`conf`	NeoRL: Efficient Exploration for Nonepisodic RL. NeurIPS Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	NeoRL: Efficient Exploration for Nonepisodic RL. CoRR Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	Safe Exploration Using Bayesian World Models and Log-Barrier Optimization. CoRR Yarden As, Bhavya Sukhija, Andreas Krause
2024	A*	`conf`	Transductive Active Learning: Theory and Applications. NeurIPS Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024	A*	`conf`	When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. NeurIPS Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
2024	J	`jnl`	When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. CoRR Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
2023	J	`jnl`	Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning. CoRR Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2023	A*	`conf`	Efficient Exploration in Continuous-time Model-based Reinforcement Learning. NeurIPS Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
2023	J	`jnl`	Efficient Exploration in Continuous-time Model-based Reinforcement Learning. CoRR Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
2023	J	`jnl`	GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
2023	A*	`conf`	Gradient-Based Trajectory Optimization With Learned Dynamics. ICRA Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros
2023	J	`jnl`	Hallucinated Adversarial Control for Conservative Offline Policy Evaluation. CoRR Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
2023	A	`conf`	Hallucinated adversarial control for conservative offline policy evaluation. UAI Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
2023	A*	`conf`	Optimistic Active Exploration of Dynamical Systems. NeurIPS Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
2023	J	`jnl`	Optimistic Active Exploration of Dynamical Systems. CoRR Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
2023	Misc	`conf`	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRL Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
2023	J	`jnl`	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRR Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
2022	J	`jnl`	Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann
2022	J	`jnl`	Trajectory Optimization Using Neural Network Gradients of Learned Dynamics. CoRR Nathanael Köhler, Bhavya Sukhija, Miguel Zamora, Simon Zimmermann, Stelian Coros