Divyansh Garg

21 papers A* 7Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.
CoRR
Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Motwani
2024 J jnl
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.
CoRR
Pranav Putta, Edmund Mills, Naman Garg, Sumeet Motwani, Chelsea Finn, Divyansh Garg, Rafael Rafailov
2024 J jnl
ROER: Regularized Optimal Experience Replay.
RLJ
Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
2024 J jnl
ROER: Regularized Optimal Experience Replay.
CoRR
Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
2023 A* conf
Extreme Q-Learning: MaxEnt RL without Entropy.
ICLR
Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
2023 J jnl
Extreme Q-Learning: MaxEnt RL without Entropy.
CoRR
Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
2023 J jnl
Learning to Detect Touches on Cluttered Tables.
CoRR
Norberto Adrián Goussies, Kenji Hata, Shruthi Prabhakara, Abhishek Amit, Tony Aubé, Carl Cepress, Diana Chang, Li-Te Cheng, Horia Stefan Ciurdar, Mike Cleron, Chelsey Fleming, Ashwin Ganti, Divyansh Garg, Niloofar Gheissari, Petra Luna Grutzik, David Hendon, Daniel Iglesia, Jin Kim, Stuart Kyle, Chris LaRosa, Roman Lewkow, Peter F. McDermott, Chris Melancon, Paru Nackeeran, Neal Norwitz, Ali Rahimi, Brett Rampata, Carlos Sobrinho, George Sung, Natalie Zauhar, Palash Nandy
2022 A* conf
LISA: Learning Interpretable Skill Abstractions from Language.
NeurIPS
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
2022 J jnl
LISA: Learning Interpretable Skill Abstractions from Language.
CoRR
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
2022 J jnl
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback.
CoRR
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
2021 A* conf
IQ-Learn: Inverse soft-Q Learning for Imitation.
NeurIPS
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
2021 J jnl
IQ-Learn: Inverse soft-Q Learning for Imitation.
CoRR
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
2021 — conf
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback.
NeurIPS (Competition and Demos)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
2020 A* conf
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
CVPR
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 J jnl
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
CoRR
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 A* conf
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
ICLR
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2020 A* conf
Wasserstein Distances for Stereo Disparity Estimation.
NeurIPS
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 J jnl
Wasserstein Distances for Stereo Disparity Estimation.
CoRR
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2019 A* conf
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
CVPR
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2019 J jnl
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
CoRR
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2018 J jnl
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
CoRR
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger