Pulkit Agrawal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
14
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Diffusion Policy Policy Optimization. | Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz |
| 2025 | ICLR | Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning. | Moritz Reuss, Jyothish Pari, Pulkit Agrawal, Rudolf Lioutikov |
| 2025 | ICLR | ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization. | Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal |
| 2025 | ICML | Position: General Intelligence Requires Reward-based Pretraining. | Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal |
| 2025 | ICML | Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective. | Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal |
| 2025 | ICRA | From Imitation to Refinement - Residual Rl for Precise Assembly. | Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal |
| 2025 | ICRA | Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation. | Tao Chen, Eric Cousineau, Naveen Kuppuswamy, Pulkit Agrawal |
| 2025 | ICRA | DART: Dexterous Augmented Reality Teleoperation Platform for Large-Scale Robot Data Collection in Simulation. | Younghyo Park, Jagdeep Singh Bhatia, Lars Ankile, Pulkit Agrawal |
| 2025 | WWW | FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning. | Pulkit Agrawal, Rukma Talwadker, Aditya Pareek, Tridib Mukherjee |
| 2024 | COMAD | ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform. | Pulkit Agrawal, Aditya Pareek, Rukma Talwadker, Tridib Mukherjee |
| 2024 | CoRL | Action Space Design in Reinforcement Learning for Robot Motor Skills. | Julian Eer, Gabriel B. Margolis, Oliver Urbann, Sren Kerner, Pulkit Agrawal |
| 2024 | CVPR | OpenEQA: Embodied Question Answering in the Era of Foundation Models. | Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran |
| 2024 | HRI | Aligning Human and Robot Representations. | Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan |
| 2024 | ICLR | Curiosity-driven Red-teaming for Large Language Models. | Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal |
| 2024 | ICML | Random Latent Exploration for Deep Reinforcement Learning. | Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal |
| 2024 | ICML | Position: Automatic Environment Shaping is the Next Frontier in RL. | Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal |
| 2024 | ICRA | Maximizing Quadruped Velocity by Minimizing Energy. | Srinath Mahankali, Chi-Chang Lee, Gabriel B. Margolis, Zhang-Wei Hong, Pulkit Agrawal |
| 2024 | ICRA | Everyday finger: a robotic finger that meets the needs of everyday interactive manipulation. | Rubn Castro Ornelas, Toms Cant, Isabel Sperandio, Alexander H. Slocum, Pulkit Agrawal |
| 2024 | ICRA | Lifelong Robot Learning with Human Assisted Language Planners. | Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal |
| 2024 | ICRA | Learning Force Control for Legged Manipulation. | Tifanny Portela, Gabriel B. Margolis, Yandong Ji, Pulkit Agrawal |
| 2024 | IROS | JUICER: Data-Efficient Imitation Learning for Robotic Assembly. | Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal |
| 2024 | IROS | EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation. | Branden Romero, Haoshu Fang, Pulkit Agrawal, Edward H. Adelson |
| 2024 | ICRA | Rank2Reward: Learning Shaped Reward Functions from Passive Video. | Daniel Yang, Davin Tjia, Jacob Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta |
| 2024 | KDD | Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay. | Hussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee |
| 2023 | CoRL | Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. | Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta |
| 2023 | CoRL | Learning to See Physical Properties with Active Sensing Motor Policies. | Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal |
| 2023 | CoRL | Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. | Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox |
| 2023 | ICLR | Is Conditional Generative Modeling all you need for Decision Making? | Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal |
| 2023 | ICLR | Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. | Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche |
| 2023 | ICLR | Learning to Extrapolate: A Transductive Approach. | Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal |
| 2023 | ICML | Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. | Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola |
| 2023 | ICML | Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. | Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal |
| 2023 | ICML | Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. | Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal |
| 2023 | ICML | TGRL: An Algorithm for Teacher Guided Reinforcement Learning. | Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal |
| 2023 | ICML | Statistical Learning under Heterogenous Distribution Shift. | Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy |
| 2023 | ICRA | DribbleBot: Dynamic Legged Manipulation in the Wild. | Yandong Ji, Gabriel B. Margolis, Pulkit Agrawal |
| 2023 | ICRA | TactoFind: A Tactile Only System for Object Retrieval. | Sameer Pai, Tao Chen, Megha Tippur, Edward H. Adelson, Abhishek Gupta, Pulkit Agrawal |
| 2023 | IROS | Visual Pre-Training for Navigation: What Can We Learn from Noise? | Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal |
| 2022 | CoRL | Efficient Tactile Simulation with Differentiability for Robotic Manipulation. | Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda |
| 2022 | CoRL | Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. | Gabriel B. Margolis, Pulkit Agrawal |
| 2022 | CoRL | SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. | Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Toms Lozano-Prez, Pulkit Agrawal |
| 2022 | ICLR | Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. | Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic |
| 2022 | ICLR | Topological Experience Replay. | Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal |
| 2022 | ICLR | Bi-linear Value Networks for Multi-goal Reinforcement Learning. | Zhang-Wei Hong, Ge Yang, Pulkit Agrawal |
| 2022 | ICLR | Overcoming The Spectral Bias of Neural Value Approximation. | Ge Yang, Anurag Ajay, Pulkit Agrawal |
| 2022 | ICML | Offline RL Policies Should Be Trained to be Adaptive. | Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine |
| 2022 | ICML | Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. | Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal |
| 2022 | ICRA | Stable Object Reorientation using Contact Plane Registration. | Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal |
| 2022 | IROS | Stubborn: A Strong Baseline for Indoor Object Navigation. | Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal |
| 2022 | ICRA | Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. | Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann |
| 2022 | ICRA | An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators. | Lara Zlokapa, Yiyue Luo, Jie Xu, Michael Foshey, Kui Wu, Pulkit Agrawal, Wojciech Matusik |
| 2021 | CoRL | The Task Specification Problem. | Pulkit Agrawal |
| 2021 | CoRL | A System for General In-Hand Object Re-Orientation. | Tao Chen, Jie Xu, Pulkit Agrawal |
| 2021 | CoRL | 3D Neural Scene Representations for Visuomotor Control. | Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba |
| 2021 | CoRL | Learning to Jump from Pixels. | Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal |
| 2021 | ICLR | OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning. | Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum |
| 2021 | ICML | Learning Task Informed Abstractions. | Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola |
| 2021 | ICRA | Residual Model Learning for Microrobot Control. | Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal |
| 2020 | CogSci | Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. | Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik |
| 2020 | CoRL | A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. | Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez |
| 2020 | ICML | AdaScale SGD: A User-Friendly Algorithm for Distributed Training. | Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin |
| 2020 | ICRA | Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. | Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal |
| 2019 | CogSci | Human-level but not human-like: Deep Reinforcement Learning in the dark. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths |
| 2019 | CogSci | Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. | Eliza Kosoy, Deepak Pathak, Pulkit Agrawal, Alison Gopnik |
| 2019 | SIGMOD | Data Platform for Machine Learning. | Pulkit Agrawal, Rajat Arya, Aanchal Bindal, Sandeep Bhatia, Anupriya Gagneja, Joseph Godlewski, Yucheng Low, Timothy Muss, Mudit Manu Paliwal, Sethu Raman, Vishrut Shah, Bochao Shen, Laura Sugden, Kaiyu Zhao, Ming-Chuan Wu |
| 2018 | CVPR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | CVPR | Learning Instance Segmentation by Interaction. | Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik |
| 2018 | ICLR | Investigating Human Priors for Playing Video Games. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Thomas L. Griffiths |
| 2018 | ICLR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | ICML | Investigating Human Priors for Playing Video Games. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros |
| 2017 | CVPR | Curiosity-Driven Exploration by Self-Supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2017 | ICCV | What will Happen Next? Forecasting Player Moves in Sports Videos. | Panna Felsen, Pulkit Agrawal, Jitendra Malik |
| 2017 | ICLR | Learning to Perform Physics Experiments via Deep Reinforcement Learning. | Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas |
| 2017 | ICML | Curiosity-driven Exploration by Self-supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2017 | ICRA | Combining self-supervised learning and imitation for vision-based rope manipulation. | Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine |
| 2016 | CVPR | Human Pose Estimation with Iterative Error Feedback. | Joo Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik |
| 2016 | ECCV | Generic 3D Representation via Pose Estimation and Matching. | Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese |
| 2015 | ICCV | Learning to See by Moving. | Pulkit Agrawal, Joo Carreira, Jitendra Malik |
| 2014 | ECCV | Analyzing the Performance of Multilayer Neural Networks for Object Recognition. | Pulkit Agrawal, Ross B. Girshick, Jitendra Malik |