The automatic assessment of knowledge integration processes in project teams. - Gahgene Gweon; Pulkit Agrawal 001; Mikesh Udani; Bhiksha Raj; Carolyn P. Rosé (CSCL, 2011)

Analyzing the Performance of Multilayer Neural Networks for Object Recognition. - Pulkit Agrawal 001; Ross B. Girshick; Jitendra Malik (ECCV (7), 2014)

Pixels to Voxels: Modeling Visual Representation in the Human Brain. - Pulkit Agrawal 001; Dustin Stansbury; Jitendra Malik; Jack L. Gallant (CoRR, 2014)

Learning to See by Moving. - Pulkit Agrawal 001; João Carreira 001; Jitendra Malik (ICCV, 2015)

Human Pose Estimation with Iterative Error Feedback. - João Carreira 001; Pulkit Agrawal 001; Katerina Fragkiadaki; Jitendra Malik (CVPR, 2016)

Generic 3D Representation via Pose Estimation and Matching. - Amir R. Zamir; Tilman Wekel; Pulkit Agrawal 001; Colin Wei; Jitendra Malik; Silvio Savarese (ECCV (3), 2016)

Learning to Poke by Poking: Experiential Learning of Intuitive Physics. - Pulkit Agrawal 001; Ashvin Nair; Pieter Abbeel; Jitendra Malik; Sergey Levine (CoRR, 2016)

Learning Visual Predictive Models of Physics for Playing Billiards. - Katerina Fragkiadaki; Pulkit Agrawal 001; Sergey Levine; Jitendra Malik (ICLR (Poster), 2016)

What makes ImageNet good for transfer learning? - Mi-Young Huh; Pulkit Agrawal 001; Alexei A. Efros (CoRR, 2016)

What will Happen Next? Forecasting Player Moves in Sports Videos. - Panna Felsen; Pulkit Agrawal 001; Jitendra Malik (ICCV, 2017)

Learning to Perform Physics Experiments via Deep Reinforcement Learning. - Misha Denil; Pulkit Agrawal 001; Tejas D. Kulkarni; Tom Erez; Peter W. Battaglia; Nando de Freitas (ICLR (Poster), 2017)

Curiosity-driven Exploration by Self-supervised Prediction. - Deepak Pathak; Pulkit Agrawal 001; Alexei A. Efros; Trevor Darrell (ICML, 2017)

Combining self-supervised learning and imitation for vision-based rope manipulation. - Ashvin Nair; Dian Chen 001; Pulkit Agrawal 001; Phillip Isola; Pieter Abbeel; Jitendra Malik; Sergey Levine (ICRA, 2017)

Zero-Shot Visual Imitation. - Deepak Pathak; Parsa Mahmoudieh; Guanghao Luo; Pulkit Agrawal 001; Dian Chen 001; Yide Shentu; Evan Shelhamer; Jitendra Malik; Alexei A. Efros; Trevor Darrell (CVPR Workshops, 2018)

Learning Instance Segmentation by Interaction. - Deepak Pathak; Yide Shentu; Dian Chen 001; Pulkit Agrawal 001; Trevor Darrell; Sergey Levine; Jitendra Malik (CVPR Workshops, 2018)

Investigating Human Priors for Playing Video Games. - Rachit Dubey; Pulkit Agrawal 001; Deepak Pathak; Tom Griffiths 001; Alexei A. Efros (ICML, 2018)

Computational Sensorimotor Learning. - Pulkit Agrawal 001 (2018)

Human-level but not human-like: Deep Reinforcement Learning in the dark. - Rachit Dubey; Pulkit Agrawal 001; Deepak Pathak; Alyosha A. Efros; Tom Griffiths 001 (CogSci, 2019)

Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. - Eliza Kosoy; Deepak Pathak; Pulkit Agrawal 001; Alison Gopnik (CogSci, 2019)

Superposition of many models into one. - Brian Cheung; Alexander Terekhov; Yubei Chen; Pulkit Agrawal 001; Bruno A. Olshausen (NeurIPS, 2019)

Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. - Eliza Kosoy; Jasmine Collins; David M. Chan; Deepak Pathak; Pulkit Agrawal 001; Alison Gopnik (CogSci, 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 001; Alberto Rodriguez 003 (CoRL, 2020)

Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. - Richard Li; Allan Jabri; Trevor Darrell; Pulkit Agrawal 001 (ICRA, 2020)

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 001 (IEEE BigData, 2021)

The Task Specification Problem. - Pulkit Agrawal 001 (CoRL, 2021)

A System for General In-Hand Object Re-Orientation. - Tao Chen 046; Jie Xu 028; Pulkit Agrawal 001 (CoRL, 2021)

3D Neural Scene Representations for Visuomotor Control. - Yunzhu Li; Shuang Li 013; Vincent Sitzmann; Pulkit Agrawal 001; Antonio Torralba 001 (CoRL, 2021)

Learning to Jump from Pixels. - Gabriel B. Margolis; Tao Chen 046; Kartik Paigwar; Xiang Fu 005; Donghyun Kim 002; Sangbae Kim; Pulkit Agrawal 001 (CoRL, 2021)

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning. - Anurag Ajay; Aviral Kumar; Pulkit Agrawal 001; Sergey Levine; Ofir Nachum (ICLR, 2021)

Learning Task Informed Abstractions. - Xiang Fu 005; Ge Yang 003; Pulkit Agrawal 001; Tommi S. Jaakkola (ICML, 2021)

Residual Model Learning for Microrobot Control. - Joshua Gruenstein; Tao Chen 046; Neel Doshi; Pulkit Agrawal 001 (ICRA, 2021)

An End-to-End Differentiable Framework for Contact-Aware Robot Design. - Jie Xu 028; Tao Chen 046; Lara Zlokapa; Michael Foshey; Wojciech Matusik; Shinjiro Sueda; Pulkit Agrawal 001 (Robotics: Science and Systems, 2021)

Equivariant Contrastive Learning. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (CoRR, 2021)

Efficient Tactile Simulation with Differentiability for Robotic Manipulation. - Jie Xu 028; Sangwoon Kim; Tao Chen 046; Alberto Rodriguez Garcia; Pulkit Agrawal 001; Wojciech Matusik; Shinjiro Sueda (CoRL, 2022)

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. - Gabriel B. Margolis; Pulkit Agrawal 001 (CoRL, 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 001 (CoRL, 2022)

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (ICLR, 2022)

Topological Experience Replay. - Zhang-Wei Hong; Tao Chen 046; Yen-Chen Lin; Joni Pajarinen; Pulkit Agrawal 001 (ICLR, 2022)

Bi-linear Value Networks for Multi-goal Reinforcement Learning. - Zhang-Wei Hong; Ge Yang 003; Pulkit Agrawal 001 (ICLR, 2022)

Overcoming The Spectral Bias of Neural Value Approximation. - Ge Yang 003; Anurag Ajay; Pulkit Agrawal 001 (ICLR, 2022)

Offline RL Policies Should Be Trained to be Adaptive. - Dibya Ghosh; Anurag Ajay; Pulkit Agrawal 001; Sergey Levine (ICML, 2022)

Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. - Aviv Netanyahu; Tianmin Shu; Joshua B. Tenenbaum; Pulkit Agrawal 001 (ICML, 2022)

Stable Object Reorientation using Contact Plane Registration. - Richard Li; Carlos Esteves; Ameesh Makadia; Pulkit Agrawal 001 (ICRA, 2022)

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. - Anthony Simeonov; Yilun Du; Andrea Tagliasacchi; Joshua B. Tenenbaum; Alberto Rodriguez 003; Pulkit Agrawal 001; Vincent Sitzmann (ICRA, 2022)

An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators. - Lara Zlokapa; Yiyue Luo; Jie Xu 028; Michael Foshey; Kui Wu 003; Pulkit Agrawal 001; Wojciech Matusik (ICRA, 2022)

Stubborn: A Strong Baseline for Indoor Object Navigation. - Haokuan Luo; Albert Yue; Zhang-Wei Hong; Pulkit Agrawal 001 (IROS, 2022)

Distributionally Adaptive Meta Reinforcement Learning. - Anurag Ajay; Abhishek Gupta 004; Dibya Ghosh; Sergey Levine; Pulkit Agrawal 001 (NeurIPS, 2022)

Redeeming intrinsic rewards via constrained optimization. - Eric Chen; Zhang-Wei Hong; Joni Pajarinen; Pulkit Agrawal 001 (NeurIPS, 2022)

Bilinear value networks. - Zhang-Wei Hong; Ge Yang 003; Pulkit Agrawal 001 (CoRR, 2022)

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. - Anthony Simeonov; Yilun Du; Yen-Chen Lin; Alberto Rodriguez 003; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Pulkit Agrawal 001 (CoRR, 2022)

Visual Dexterity: In-hand Dexterous Manipulation from Depth. - Tao Chen 046; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal 001 (CoRR, 2022)

Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. - Max Balsells; Marcel Torne Villasevil; Zihan Wang; Samedh Desai; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRL, 2023)

Learning to See Physical Properties with Active Sensing Motor Policies. - Gabriel B. Margolis; Xiang Fu 005; Yandong Ji; Pulkit Agrawal 001 (CoRL, 2023)

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. - Anthony Simeonov; Ankit Goyal 001; Lucas Manuelli; Yen-Chen Lin; Alina Sarmiento; Alberto Rodriguez Garcia; Pulkit Agrawal 001; Dieter Fox (CoRL, 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 001 (ICLR, 2023)

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. - Zhang-Wei Hong; Pulkit Agrawal 001; Remi Tachet des Combes; Romain Laroche (ICLR, 2023)

Learning to Extrapolate: A Transductive Approach. - Aviv Netanyahu; Abhishek Gupta 004; Max Simchowitz; Kaiqing Zhang; Pulkit Agrawal 001 (ICLR, 2023)

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. - Minyoung Huh; Brian Cheung; Pulkit Agrawal 001; Phillip Isola (ICML, 2023)

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. - Zechu Li; Tao Chen 046; Zhang-Wei Hong; Anurag Ajay; Pulkit Agrawal 001 (ICML, 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 001 (ICML, 2023)

TGRL: An Algorithm for Teacher Guided Reinforcement Learning. - Idan Shenfeld; Zhang-Wei Hong; Aviv Tamar; Pulkit Agrawal 001 (ICML, 2023)

Statistical Learning under Heterogenous Distribution Shift. - Max Simchowitz; Anurag Ajay; Pulkit Agrawal 001; Akshay Krishnamurthy (ICML, 2023)

DribbleBot: Dynamic Legged Manipulation in the Wild. - Yandong Ji; Gabriel B. Margolis; Pulkit Agrawal 001 (ICRA, 2023)

TactoFind: A Tactile Only System for Object Retrieval. - Sameer Pai; Tao Chen 046; Megha Tippur; Edward H. Adelson; Abhishek Gupta 004; Pulkit Agrawal 001 (ICRA, 2023)

Visual Pre-Training for Navigation: What Can We Learn from Noise? - Yanwei Wang; Ching-Yun Ko; Pulkit Agrawal 001 (IROS, 2023)

Self-Supervised Reinforcement Learning that Transfers using Random Features. - Boyuan Chen 003; Chuning Zhu; Pulkit Agrawal 001; Kaiqing Zhang; Abhishek Gupta 004 (NeurIPS, 2023)

Compositional Foundation Models for Hierarchical Planning. - Anurag Ajay; Seungwook Han; Yilun Du; Shuang Li 013; Abhi Gupta; Tommi S. Jaakkola; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Akash Srivastava; Pulkit Agrawal 001 (NeurIPS, 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 004; Pulkit Agrawal 001 (NeurIPS, 2023)

Human-Guided Complexity-Controlled Abstractions. - Andi Peng; Mycal Tucker; Eoin M. Kenny; Noga Zaslavsky; Pulkit Agrawal 001; Julie A. Shah (NeurIPS, 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 046; Pulkit Agrawal 001; Abhishek Gupta 004 (NeurIPS, 2023)

Aligning Robot and Human Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie Shah; Anca D. Dragan (CoRR, 2023)

Geometry of contact: contact planning for multi-legged robots via spin models duality. - Baxi Chong; Di Luo; Tianyu Wang 010; Gabriel B. Margolis; Juntao He; Pulkit Agrawal 001; Marin Soljacic; Daniel I. Goldman (CoRR, 2023)

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. - Ligong Han; Seungwook Han; Shivchander Sudalairaj; Charlotte Loh; Rumen Dangovski; Fei Deng 001; Pulkit Agrawal 001; Dimitris N. Metaxas; Leonid Karlinsky; Tsui-Wei Weng; Akash Srivastava (CoRR, 2023)

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. - Anthony Simeonov; Ankit Goyal 001; Lucas Manuelli; Yen-Chen Lin; Alina Sarmiento; Alberto Rodriguez 003; Pulkit Agrawal 001; Dieter Fox (CoRR, 2023)

Neuro-Inspired Efficient Map Building via Fragmentation and Recall. - Jaedong Hwang; Zhang-Wei Hong; Eric Chen; Akhilan Boopathy; Pulkit Agrawal 001; Ila Fiete (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 046; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRR, 2023)

Human-Assisted Continual Robot Learning with Foundation Models. - Meenal Parakh; Alisha Fong; Anthony Simeonov; Abhishek Gupta 004; Tao Chen 046; Pulkit Agrawal 001 (CoRR, 2023)

Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. - Jaedong Hwang; Zhang-Wei Hong; Eric Chen; Akhilan Boopathy; Pulkit Agrawal 001; Ila Fiete (CoRR, 2023)

The Low-Rank Simplicity Bias in Deep Networks. - Minyoung Huh; Hossein Mobahi; Richard Zhang 001; Brian Cheung; Pulkit Agrawal 001; Phillip Isola (Trans. Mach. Learn. Res., 2023)

Visual dexterity: In-hand reorientation of novel and complex object shapes. - Tao Chen 046; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal 001 (Sci. Robotics, 2023)

Action Space Design in Reinforcement Learning for Robot Motor Skills. - Julian Eßer; Gabriel B. Margolis; Oliver Urbann; Sören Kerner; Pulkit Agrawal 001 (CoRL, 2024)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Aligning Human and Robot Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie A. Shah; Anca D. Dragan (HRI, 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 001 (ICLR, 2024)

Random Latent Exploration for Deep Reinforcement Learning. - Srinath Mahankali; Zhang-Wei Hong; Ayush Sekhari; Alexander Rakhlin; Pulkit Agrawal 001 (ICML, 2024)

Position: Automatic Environment Shaping is the Next Frontier in RL. - Younghyo Park; Gabriel B. Margolis; Pulkit Agrawal 001 (ICML, 2024)

Maximizing Quadruped Velocity by Minimizing Energy. - Srinath Mahankali; Chi-Chang Lee; Gabriel B. Margolis; Zhang-Wei Hong; Pulkit Agrawal 001 (ICRA, 2024)

Everyday finger: a robotic finger that meets the needs of everyday interactive manipulation. - Rubén Castro Ornelas; Tomás Cantú; Isabel Sperandio; Alexander H. Slocum; Pulkit Agrawal 001 (ICRA, 2024)

Lifelong Robot Learning with Human Assisted Language Planners. - Meenal Parakh; Alisha Fong; Anthony Simeonov; Tao Chen 046; Abhishek Gupta 004; Pulkit Agrawal 001 (ICRA, 2024)

Learning Force Control for Legged Manipulation. - Tifanny Portela; Gabriel B. Margolis; Yandong Ji; Pulkit Agrawal 001 (ICRA, 2024)

Rank2Reward: Learning Shaped Reward Functions from Passive Video. - Daniel Yang; Davin Tjia; Jacob Berg; Dima Damen; Pulkit Agrawal 001; Abhishek Gupta 004 (ICRA, 2024)

JUICER: Data-Efficient Imitation Learning for Robotic Assembly. - Lars Ankile; Anthony Simeonov; Idan Shenfeld; Pulkit Agrawal 001 (IROS, 2024)

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 001; Edward H. Adelson (IROS, 2024)

Going Beyond Heuristics by Imposing Policy Improvement as a Constraint. - Chi-Chang Lee; Zhang-Wei Hong; Pulkit Agrawal 001 (NeurIPS, 2024)

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Steven Li; Rickmer Krohn; Tao Chen 046; Anurag Ajay; Pulkit Agrawal 001; Georgia Chalvatzaki (NeurIPS, 2024)

Few-Shot Task Learning through Inverse Generative Modeling. - Aviv Netanyahu; Yilun Du; Antonia Bronars; Jyothish Pari; Josh Tenenbaum 001; Tianmin Shu; Pulkit Agrawal 001 (NeurIPS, 2024)

ROER: Regularized Optimal Experience Replay. - Changling Li; Zhang-Wei Hong; Pulkit Agrawal 001; Divyansh Garg; Joni Pajarinen (RLJ, 2024)

Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation. - Marcel Torne Villasevil; Anthony Simeonov; Zechu Li; April Chan; Tao Chen 046; Abhishek Gupta 004; Pulkit Agrawal 001 (Robotics: Science and Systems, 2024)

Training Neural Networks from Scratch with Parallel Low-Rank Adapters. - Minyoung Huh; Brian Cheung; Jeremy Bernstein; Phillip Isola; Pulkit Agrawal 001 (CoRR, 2024)

Value Augmented Sampling for Language Model Alignment and Personalization. - Seungwook Han; Idan Shenfeld; Akash Srivastava; Yoon Kim; Pulkit Agrawal 001 (CoRR, 2024)

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Zechu Li; Rickmer Krohn; Tao Chen 046; Anurag Ajay; Pulkit Agrawal 001; Georgia Chalvatzaki (CoRR, 2024)

Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation. - Tao Chen 046; Eric Cousineau; Naveen Kuppuswamy; Pulkit Agrawal 001 (CoRR, 2024)

Automatic Environment Shaping is the Next Frontier in RL. - Younghyo Park; Gabriel B. Margolis; Pulkit Agrawal 001 (CoRR, 2024)

From Imitation to Refinement - Residual RL for Precise Visual Assembly. - Lars Ankile; Anthony Simeonov; Idan Shenfeld; Marcel Torne; Pulkit Agrawal 001 (CoRR, 2024)

ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning. - Jaedong Hwang; Brian Cheung; Zhang-Wei Hong; Akhilan Boopathy; Pulkit Agrawal 001; Ila Fiete (CoRR, 2024)

Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck. - Bipasha Sen; Michelle Wang; Nandini Thakur; Aditya Agarwal; Pulkit Agrawal 001 (CoRR, 2024)

Collective Model Intelligence Requires Compatible Specialization. - Jyothish Pari; Samy Jelassi; Pulkit Agrawal 001 (CoRR, 2024)

DexHub and DART: Towards Internet Scale Robot Data Collection. - Younghyo Park; Jagdeep Singh Bhatia; Lars Ankile; Pulkit Agrawal 001 (CoRR, 2024)

Embodied Red Teaming for Auditing Robotic Foundation Models. - Sathwik Karnik; Zhang-Wei Hong; Nishant Abhangi; Yen-Chen Lin; Tsun-Hsuan Wang; Pulkit Agrawal 001 (CoRR, 2024)

Robot Learning with Super-Linear Scaling. - Marcel Torne; Arhan Jain; Jiayi Yuan 002; Vidaaranya Macha; Lars Ankile; Anthony Simeonov; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRR, 2024)

Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers. - Seungwook Han; Jinyeop Song; Jeff Gore; Pulkit Agrawal 001 (CoRR, 2024)

Rapid locomotion via reinforcement learning. - Gabriel B. Margolis; Ge Yang 003; Kartik Paigwar; Tao Chen 046; Pulkit Agrawal 001 (Int. J. Robotics Res., 2024)

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. - Jaedong Hwang; Zhang-Wei Hong; Eric Chen; Akhilan Boopathy; Pulkit Agrawal 001; Ila R. Fiete (Trans. Mach. Learn. Res., 2024)

Diffusion Policy Policy Optimization. - Allen Z. Ren; Justin Lidard; Lars Lien Ankile; Anthony Simeonov; Pulkit Agrawal 001; Anirudha Majumdar; Benjamin Burchfiel; Hongkai Dai; Max Simchowitz (ICLR, 2025)

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning. - Moritz Reuss; Jyothish Pari; Pulkit Agrawal 001; Rudolf Lioutikov (ICLR, 2025)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization. - Chen Bo Calvin Zhang; Zhang-Wei Hong; Aldo Pacchiano; Pulkit Agrawal 001 (ICLR, 2025)

Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement Learning. - Yi-Hsuan Hsiao; Wei-Tung Chen; Yun-Sheng Chang; Pulkit Agrawal 001; YuFeng Chen 003 (RoboSoft, 2025)

A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Jacob Desman; Zhang-Wei Hong; Moein Sabounchi; Ashwin S. Sawant; Jaskirat Gill; Ana C. Costa; Gagan Kumar; Rajeev Sharma; Arpeta Gupta; Paul McCarthy; Veena Nandwani; Doug Powell; et al. (npj Digit. Medicine, 2025)

Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules. - Nofit Segal; Aviv Netanyahu; Kevin P. Greenman; Pulkit Agrawal 001; Rafael Gómez-Bombarelli (CoRR, 2025)

Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation. - Nolan Fey; Gabriel B. Margolis; Martin Peticco; Pulkit Agrawal 001 (CoRR, 2025)

General Reasoning Requires Learning to Reason from the Get-go. - Seungwook Han; Jyothish Pari; Samuel J. Gershman; Pulkit Agrawal 001 (CoRR, 2025)

Language Model Personalization via Reward Factorization. - Idan Shenfeld; Felix Faltings; Pulkit Agrawal 001; Aldo Pacchiano (CoRR, 2025)

Self-Adapting Language Models. - Adam Zweiger; Jyothish Pari; Han Guo; Ekin Akyürek; Yoon Kim; Pulkit Agrawal 001 (CoRR, 2025)

DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation. - Martin Peticco; Gabriella Ulloa; John Marangola; Pulkit Agrawal 001 (CoRR, 2025)