Viraj Mehta

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Dynamical Systems

Reinforcement Learning

Bayesian Reinforcement Learning

Top Venues

Publications

Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
Group Robust Preference Optimization in Reward-free RLHF. CoRR (2024)
Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger
Kernelized Offline Contextual Dueling Bandits. CoRR (2023)
Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC (2023)
Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. CoRR (2023)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. ICLR (2023)
Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. ICLR (2022)
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR (2022)
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Exploration via Planning for Information about the Optimal Trajectory. NeurIPS (2022)
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Exploration via Planning for Information about the Optimal Trajectory. CoRR (2022)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. CoRR (2022)
Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider
BATS: Best Action Trajectory Stitching. CoRR (2022)
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
An Experimental Design Perspective on Model-Based Reinforcement Learning. CoRR (2021)
Frederic Koehler, Viraj Mehta, Andrej Risteski
Representational aspects of depth and conditioning in normalizing flows. ICML (2021)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC (2021)
Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. CoRR (2021)
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39 (2-3) (2020)
Frederic Koehler, Viraj Mehta, Andrej Risteski
Representational aspects of depth and conditioning in normalizing flows. CoRR (2020)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR (2020)
Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. WACV (2018)
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR (2018)
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems (2018)
Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. CoRR (2017)