Pulkit Agrawal

According to our database, Pulkit Agrawal authored at least 89 papers between 2011 and 2024.

Collaborative distances:

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

2024

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation.

Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal

CoRR, 2024

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

CoRR, 2024

Training Neural Networks from Scratch with Parallel Low-Rank Adapters.

Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal

CoRR, 2024

Aligning Human and Robot Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform.

Pulkit Agrawal, Aditya Pareek, Rukma Talwadker, Tridib Mukherjee

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Visual dexterity: In-hand reorientation of novel and complex object shapes.

Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward H. Adelson, Pulkit Agrawal

Sci. Robotics, November, 2023

The Low-Rank Simplicity Bias in Deep Networks.

Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

Trans. Mach. Learn. Res., 2023

Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2023

Human-Assisted Continual Robot Learning with Foundation Models.

Meenal Parakh, Alisha Fong, Anthony Simeonov, Abhishek Gupta, Tao Chen, Pulkit Agrawal

CoRR, 2023

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback.

Marcel Torne, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta

CoRR, 2023

Neuro-Inspired Efficient Map Building via Fragmentation and Recall.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.

Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox

CoRR, 2023

Self-Supervised Reinforcement Learning that Transfers using Random Features.

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

CoRR, 2023

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.

Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava

CoRR, 2023

Geometry of contact: contact planning for multi-legged robots via spin models duality.

Baxi Chong, Di Luo, Tianyu Wang, Gabriel B. Margolis, Juntao He, Pulkit Agrawal, Marin Soljacic, Daniel I. Goldman

CoRR, 2023

Aligning Robot and Human Representations.

Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan

CoRR, 2023

Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback.

Marcel Torne Villasevil, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-Guided Complexity-Controlled Abstractions.

Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Foundation Models for Hierarchical Planning.

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Reinforcement Learning that Transfers using Random Features.

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Pre-Training for Navigation: What Can We Learn from Noise?

Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal

IROS, 2023

TactoFind: A Tactile Only System for Object Retrieval.

Sameer Pai, Tao Chen, Megha Tippur, Edward H. Adelson, Abhishek Gupta, Pulkit Agrawal

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DribbleBot: Dynamic Legged Manipulation in the Wild.

Yandong Ji, Gabriel B. Margolis, Pulkit Agrawal

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Statistical Learning under Heterogenous Distribution Shift.

Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy

Proceedings of the International Conference on Machine Learning, 2023

TGRL: An Algorithm for Teacher Guided Reinforcement Learning.

Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2023

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola

Proceedings of the International Conference on Machine Learning, 2023

Learning to Extrapolate: A Transductive Approach.

Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.

Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Conditional Generative Modeling all you need for Decision Making?

Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Conference on Robot Learning, 2023

Learning to See Physical Properties with Active Sensing Motor Policies.

Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 2023

Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback.

Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta

Proceedings of the Conference on Robot Learning, 2023

2022

Visual Dexterity: In-hand Dexterous Manipulation from Depth.

Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward H. Adelson, Pulkit Agrawal

CoRR, 2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

CoRR, 2022

Bilinear value networks.

Zhang-Wei Hong, Ge Yang, Pulkit Agrawal

CoRR, 2022

Rapid Locomotion via Reinforcement Learning.

Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Redeeming intrinsic rewards via constrained optimization.

Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal

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

Distributionally Adaptive Meta Reinforcement Learning.

Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

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

Stubborn: A Strong Baseline for Indoor Object Navigation.

Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators.

Lara Zlokapa, Yiyue Luo, Jie Xu, Michael Foshey, Kui Wu, Pulkit Agrawal, Wojciech Matusik

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Stable Object Reorientation using Contact Plane Registration.

Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning.

Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2022

Offline RL Policies Should Be Trained to be Adaptive.

Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

Overcoming The Spectral Bias of Neural Value Approximation.

Ge Yang, Anurag Ajay, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bi-linear Value Networks for Multi-goal Reinforcement Learning.

Zhang-Wei Hong, Ge Yang, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Topological Experience Replay.

Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

Proceedings of the Tenth International Conference on Learning Representations, 2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 2022

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior.

Gabriel B. Margolis, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 2022

Efficient Tactile Simulation with Differentiability for Robotic Manipulation.

Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda

Proceedings of the Conference on Robot Learning, 2022

2021

Equivariant Contrastive Learning.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

CoRR, 2021

An End-to-End Differentiable Framework for Contact-Aware Robot Design.

Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Residual Model Learning for Microrobot Control.

Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Task Informed Abstractions.

Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola

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

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Jump from Pixels.

Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

3D Neural Scene Representations for Visuomotor Control.

Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A System for General In-Hand Object Re-Orientation.

Tao Chen, Jie Xu, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

The Task Specification Problem.

Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.

Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.

Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AdaScale SGD: A User-Friendly Algorithm for Distributed Training.

Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 4th Conference on Robot Learning, 2020

Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments.

Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

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

Proceedings of the 2019 International Conference on Management of Data, 2019

Superposition of many models into one.

Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal.

Eliza Kosoy, Deepak Pathak, Pulkit Agrawal, Alison Gopnik

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Human-level but not human-like: Deep Reinforcement Learning in the dark.

Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Computational Sensorimotor Learning.

Pulkit Agrawal

PhD thesis, 2018

Investigating Human Priors for Playing Video Games.

Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Thomas L. Griffiths

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Instance Segmentation by Interaction.

Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to Perform Physics Experiments via Deep Reinforcement Learning.

Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas

Proceedings of the 5th International Conference on Learning Representations, 2017

What will Happen Next? Forecasting Player Moves in Sports Videos.

Panna Felsen, Pulkit Agrawal, Jitendra Malik

Proceedings of the IEEE International Conference on Computer Vision, 2017

Curiosity-Driven Exploration by Self-Supervised Prediction.

Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

What makes ImageNet good for transfer learning?

Mi-Young Huh, Pulkit Agrawal, Alexei A. Efros

CoRR, 2016

Learning Visual Predictive Models of Physics for Playing Billiards.

Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, Jitendra Malik

Proceedings of the 4th International Conference on Learning Representations, 2016

Learning to Poke by Poking: Experiential Learning of Intuitive Physics.

Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, Sergey Levine

CoRR, 2016

Generic 3D Representation via Pose Estimation and Matching.

Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese

Proceedings of the Computer Vision - ECCV 2016, 2016

Human Pose Estimation with Iterative Error Feedback.

João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning to See by Moving.

Pulkit Agrawal, João Carreira, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Pixels to Voxels: Modeling Visual Representation in the Human Brain.

Pulkit Agrawal, Dustin Stansbury, Jitendra Malik, Jack L. Gallant

CoRR, 2014

Analyzing the Performance of Multilayer Neural Networks for Object Recognition.

Pulkit Agrawal, Ross B. Girshick, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2014, 2014

2011

The automatic assessment of knowledge integration processes in project teams.

Gahgene Gweon, Pulkit Agrawal, Mikesh Udani, Bhiksha Raj, Carolyn P. Rosé

Proceedings of the 9th International Conference on Computer Supported Collaborative Learning, 2011