Bhavya Agrawalla

According to our database, Bhavya Agrawalla authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

What Does Flow Matching Bring To TD Learning?

Bhavya Agrawalla, Michal Nauman, Aviral Kumar

CoRR, March, 2026

Statistical Inference for Linear Functionals of Online Least-Squares SGD When t ≳ d^1+δ.

Bhavya Agrawalla, Krishnakumar Balasubramanian, Promit Ghosal

IEEE Trans. Inf. Theory, January, 2026

2025

floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL.

Bhavya Agrawalla, Michal Nauman, Khush Agarwal, Aviral Kumar

CoRR, September, 2025

2024

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Agrawalla

Trans. Mach. Learn. Res., 2024

2023

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla

CoRR, 2023

DISeR: Designing Imaging Systems with Reinforcement Learning.

Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023