← Authors

Pulkit Agrawal

61 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (57) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (14) ❓ The Questioner (2) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (209) πŸ“ˆ Trend Setter πŸ’Ž Century Club (61) πŸ”₯ Unstoppable (11)

Conferences

ICML (15) ICLR (13) CORL (12) NIPS (12) RSS (5) CVPR (2) ICCV (2)

Top co-authors

Zhang-Wei Hong (11) Anurag Ajay (10) Tao Chen (10) Abhishek Gupta (8) Gabriel B. Margolis (7) Anthony Simeonov (6) Jitendra Malik (5) Yilun Du (5) Aviv Netanyahu (4) Sergey Levine (4)

Research topics

Robotics (1)

Keywords

reinforcement learning (12) policy learning (4) self-supervised learning (4) sim-to-real transfer (4) distribution shift (3) robot manipulation (3) imitation learning (3) intrinsic reward (2) diffusion model (2) sparse reward (2) human-in-the-loop learning (2) foundation model (2) pose estimation (2) offline reinforcement learning (2) robotic manipulation (2) locomotion control (2) generative model (2) neural network training (1) feature learning (1) multi-task learning (1)

Papers

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025
Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation RSS 2025
Robot Learning with Super-Linear Scaling RSS 2025
Position: General Intelligence Requires Reward-based Pretraining ICML 2025
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective ICML 2025
Diffusion Policy Policy Optimization ICLR 2025
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning ICLR 2025
Position: Automatic Environment Shaping is the Next Frontier in RL ICML 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
Few-Shot Task Learning through Inverse Generative Modeling NIPS 2024
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint NIPS 2024
Action Space Design in Reinforcement Learning for Robot Motor Skills CORL 2024
OpenEQA: Embodied Question Answering in the Era of Foundation Models CVPR 2024
Curiosity-driven Red-teaming for Large Language Models ICLR 2024
Random Latent Exploration for Deep Reinforcement Learning ICML 2024
Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation RSS 2024
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
Learning to Extrapolate: A Transductive Approach ICLR 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting ICLR 2023
Is Conditional Generative Modeling all you need for Decision Making? ICLR 2023
Compositional Foundation Models for Hierarchical Planning NIPS 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback NIPS 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features NIPS 2023
Human-Guided Complexity-Controlled Abstractions NIPS 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CORL 2023
Statistical Learning under Heterogeneous Distribution Shift ICML 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation ICML 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement CORL 2023
Learning to See Physical Properties with Active Sensing Motor Policies CORL 2023
Topological Experience Replay ICLR 2022
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior CORL 2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields CORL 2022
Efficient Tactile Simulation with Differentiability for Robotic Manipulation CORL 2022
Rapid Locomotion via Reinforcement Learning RSS 2022
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations ICLR 2022
Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022
Bi-linear Value Networks for Multi-goal Reinforcement Learning ICLR 2022
Offline RL Policies Should Be Trained to be Adaptive ICML 2022
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022
Redeeming intrinsic rewards via constrained optimization NIPS 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Learning Task Informed Abstractions ICML 2021
3D Neural Scene Representations for Visuomotor Control CORL 2021
The Task Specification Problem CORL 2021
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021
A System for General In-Hand Object Re-Orientation CORL 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design RSS 2021
Learning to Jump from Pixels CORL 2021
AdaScale SGD: A User-Friendly Algorithm for Distributed Training ICML 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects CORL 2020
Superposition of many models into one NIPS 2019
Investigating Human Priors for Playing Video Games ICML 2018
Zero-Shot Visual Imitation ICLR 2018
What Will Happen Next? Forecasting Player Moves in Sports Videos ICCV 2017
Curiosity-driven Exploration by Self-supervised Prediction ICML 2017
Learning to Poke by Poking: Experiential Learning of Intuitive Physics NIPS 2016
Human Pose Estimation With Iterative Error Feedback CVPR 2016
Learning to See by Moving ICCV 2015