Viraj Mehta

According to our database, Viraj Mehta authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration.

Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger

CoRR, 2023

Kernelized Offline Contextual Dueling Bandits.

Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger

CoRR, 2023

Offline Model-Based Reinforcement Learning for Tokamak Control.

Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider

Proceedings of the Learning for Dynamics and Control Conference, 2023

Near-optimal Policy Identification in Active Reinforcement Learning.

Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

BATS: Best Action Trajectory Stitching.

Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider

CoRR, 2022

Exploration via Planning for Information about the Optimal Trajectory.

Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Experimental Design Perspective on Model-Based Reinforcement Learning.

Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias.

Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Representational aspects of depth and conditioning in normalizing flows.

Frederic Koehler, Viraj Mehta, Andrej Risteski

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction.

Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning task-oriented grasping for tool manipulation from simulated self-supervision.

Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese

Int. J. Robotics Res., 2020

2018

DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image.

Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018