Pulkit Agrawal

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 130

Top Venues

Publications

Pulkit Agrawal, Aditya Pareek, Rukma Talwadker, Tridib Mukherjee
ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform. COMAD/CODS (2024)
Rubén Castro Ornelas, Tomás Cantú, Isabel Sperandio, Alexander H. Slocum, Pulkit Agrawal
Everyday finger: a robotic finger that meets the needs of everyday interactive manipulation. ICRA (2024)
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal
TGRL: An Algorithm for Teacher Guided Reinforcement Learning. CoRR (2023)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023)
Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
Statistical Learning under Heterogenous Distribution Shift. CoRR (2023)
Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRR (2023)
Yandong Ji, Gabriel B. Margolis, Pulkit Agrawal
DribbleBot: Dynamic Legged Manipulation in the Wild. CoRR (2023)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
Human-Guided Complexity-Controlled Abstractions. CoRR (2023)
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal
TGRL: An Algorithm for Teacher Guided Reinforcement Learning. ICML (2023)
Baxi Chong, Di Luo, Tianyu Wang, Gabriel Margolis, Juntao He, Pulkit Agrawal, Marin Soljacic, Daniel I. Goldman
Geometry of contact: contact planning for multi-legged robots via spin models duality. CoRR (2023)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
Self-Supervised Reinforcement Learning that Transfers using Random Features. CoRR (2023)
Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
Self-Supervised Reinforcement Learning that Transfers using Random Features. NeurIPS (2023)
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal
Is Conditional Generative Modeling all you need for Decision Making? ICLR (2023)
Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal
Visual Pre-Training for Navigation: What Can We Learn from Noise? IROS (2023)
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. ICML (2023)
Sameer Pai, Tao Chen, Megha Tippur, Edward H. Adelson, Abhishek Gupta, Pulkit Agrawal
TactoFind: A Tactile Only System for Object Retrieval. CoRR (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR (2023)
Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. ICLR (2023)
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. CoRR (2023)
Sameer Pai, Tao Chen, Megha Tippur, Edward H. Adelson, Abhishek Gupta, Pulkit Agrawal
TactoFind: A Tactile Only System for Object Retrieval. ICRA (2023)
Max Balsells, Marcel Torne, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRR (2023)
Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRL (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML (2023)
Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
Statistical Learning under Heterogenous Distribution Shift. ICML (2023)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
Aligning Robot and Human Representations. CoRR (2023)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah
Human-Guided Complexity-Controlled Abstractions. NeurIPS (2023)
Yandong Ji, Gabriel B. Margolis, Pulkit Agrawal
DribbleBot: Dynamic Legged Manipulation in the Wild. ICRA (2023)
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
Compositional Foundation Models for Hierarchical Planning. CoRR (2023)
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
Visual dexterity: In-hand reorientation of novel and complex object shapes. Sci. Robotics 8 (84) (2023)
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. ICML (2023)
Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal
Learning to See Physical Properties with Active Sensing Motor Policies. CoRL (2023)
Marcel Torne, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback. CoRR (2023)
Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. CoRR (2023)
Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRL (2023)
Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal
Learning to See Physical Properties with Active Sensing Motor Policies. CoRR (2023)
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. CoRR (2023)
Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
Learning to Extrapolate: A Transductive Approach. ICLR (2023)
Zhang-Wei Hong, Pulkit Agrawal, Rémi Tachet des Combes, Romain Laroche
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. CoRR (2023)
Marcel Torne Villasevil, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta
Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback. NeurIPS (2023)
Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
Learning to Extrapolate: A Transductive Approach. CoRR (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR (2023)
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
Compositional Foundation Models for Hierarchical Planning. NeurIPS (2023)
Meenal Parakh, Alisha Fong, Anthony Simeonov, Abhishek Gupta, Tao Chen, Pulkit Agrawal
Human-Assisted Continual Robot Learning with Foundation Models. CoRR (2023)
Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Neuro-Inspired Efficient Map Building via Fragmentation and Recall. CoRR (2023)
Zhang-Wei Hong, Ge Yang, Pulkit Agrawal
Bilinear value networks. CoRR (2022)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. CoRR (2022)
Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML (2022)
Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda
Efficient Tactile Simulation with Differentiability for Robotic Manipulation. CoRL (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL (2022)
Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. CoRR (2022)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR (2022)
Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal
Stubborn: A Strong Baseline for Indoor Object Navigation. IROS (2022)
Gabriel B. Margolis, Pulkit Agrawal
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. CoRL (2022)
Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
Redeeming intrinsic rewards via constrained optimization. NeurIPS (2022)
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
Visual Dexterity: In-hand Dexterous Manipulation from Depth. CoRR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. CoRR (2022)
Lara Zlokapa, Yiyue Luo, Jie Xu, Michael Foshey, Kui Wu, Pulkit Agrawal, Wojciech Matusik
An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators. ICRA (2022)
Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine
Offline RL Policies Should be Trained to be Adaptive. CoRR (2022)
Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal
Distributionally Adaptive Meta Reinforcement Learning. CoRR (2022)
Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine
Offline RL Policies Should Be Trained to be Adaptive. ICML (2022)
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal
Is Conditional Generative Modeling all you need for Decision-Making? CoRR (2022)
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA (2022)
Zhang-Wei Hong, Ge Yang, Pulkit Agrawal
Bi-linear Value Networks for Multi-goal Reinforcement Learning. ICLR (2022)
Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal
Distributionally Adaptive Meta Reinforcement Learning. NeurIPS (2022)
Ge Yang, Anurag Ajay, Pulkit Agrawal
Overcoming The Spectral Bias of Neural Value Approximation. ICLR (2022)
Gabriel B. Margolis, Pulkit Agrawal
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. CoRR (2022)
Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
Rapid Locomotion via Reinforcement Learning. Robotics: Science and Systems (2022)
Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
Rapid Locomotion via Reinforcement Learning. CoRR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. ICRA (2022)
Ge Yang, Anurag Ajay, Pulkit Agrawal
Overcoming the Spectral Bias of Neural Value Approximation. CoRR (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR (2022)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. ICLR (2022)
Lara Zlokapa, Yiyue Luo, Jie Xu, Michael Foshey, Kui Wu, Pulkit Agrawal, Wojciech Matusik
An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators. CoRR (2022)
Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal
Stubborn: A Strong Baseline for Indoor Object Navigation. CoRR (2022)
Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
Redeeming Intrinsic Rewards via Constrained Optimization. CoRR (2022)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Contrastive Learning. CoRR (2021)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. CoRR (2021)
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. CoRR (2021)
Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal
Learning to Jump from Pixels. CoRL (2021)
Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
3D Neural Scene Representations for Visuomotor Control. CoRL (2021)
Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal
Residual Model Learning for Microrobot Control. CoRR (2021)
Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal
Residual Model Learning for Microrobot Control. ICRA (2021)
Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData (2021)
Tao Chen, Jie Xu, Pulkit Agrawal
A System for General In-Hand Object Re-Orientation. CoRR (2021)
Pulkit Agrawal
The Task Specification Problem. CoRL (2021)
Tao Chen, Jie Xu, Pulkit Agrawal
A System for General In-Hand Object Re-Orientation. CoRL (2021)
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal
An End-to-End Differentiable Framework for Contact-Aware Robot Design. Robotics: Science and Systems (2021)
Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola
Learning Task Informed Abstractions. CoRR (2021)
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal
An End-to-End Differentiable Framework for Contact-Aware Robot Design. CoRR (2021)
Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
3D Neural Scene Representations for Visuomotor Control. CoRR (2021)
Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola
Learning Task Informed Abstractions. ICML (2021)
Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal
Learning to Jump from Pixels. CoRR (2021)
Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning. ICLR (2021)
Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. CoRR (2020)
Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. CogSci (2020)
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. ICML (2020)
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. CoRR (2020)
Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. CoRL (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pulkit Agrawal