Bhavya Sukhija

Orcid: 0000-0001-6238-9734

According to our database1, Bhavya Sukhija authored at least 19 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
0
5
10
7
1
2
4
5

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning.
IEEE Robotics Autom. Lett., 2024

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization.
CoRR, 2024

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning.
CoRR, 2024

Meta-Reinforcement Learning for Universal Quadrupedal Locomotion Control.
CoRR, 2024

Safe Exploration Using Bayesian World Models and Log-Barrier Optimization.
CoRR, 2024

Information-based Transductive Active Learning.
CoRR, 2024

Active Few-Shot Fine-Tuning.
CoRR, 2024

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NeoRL: Efficient Exploration for Nonepisodic RL.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Transductive Active Learning: Theory and Applications.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bridging the Sim-to-Real Gap with Bayesian Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.
Artif. Intell., July, 2023

Hallucinated adversarial control for conservative offline policy evaluation.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient Exploration in Continuous-time Model-based Reinforcement Learning.
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.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tuning Legged Locomotion Controllers via Safe Bayesian Optimization.
Proceedings of the Conference on Robot Learning, 2023

2022
Trajectory Optimization Using Neural Network Gradients of Learned Dynamics.
CoRR, 2022

Scalable Safe Exploration for Global Optimization of Dynamical Systems.
CoRR, 2022


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