Abhishek Gupta

Affiliations:

University of Washington, Department of Computer Science, Seattle, WA, USA
University of California at Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA (PhD)

According to our database¹, Abhishek Gupta authored at least 84 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Semantically Controllable Augmentations for Generalizable Robot Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

CoRR, 2024

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

[BibT_eX]

[DOI]

CoRR, 2024

ASID: Active Exploration for System Identification in Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

Transferable Reinforcement Learning via Generalized Occupancy Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Rank2Reward: Learning Shaped Reward Functions from Passive Video.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Lifelong Robot Learning with Human Assisted Language Planners.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Nur Muhammad (Mahi) Shafiullah

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Universal Visual Decomposer: Long-Horizon Manipulation Made Easy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ASID: Active Exploration for System Identification in Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning.

[BibT_eX]

[DOI]

Liyiming Ke

Yunchu Zhang

Abhay Deshpande

Siddhartha S. Srinivasa

Abhishek Gupta

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Modeling Boundedly Rational Agents with Latent Inference Budgets.

[BibT_eX]

[DOI]

Athul Paul Jacob

Abhishek Gupta

Jacob Andreas

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RoboHive: A Unified Framework for Robot Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Human-Assisted Continual Robot Learning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Cherry-Picking with Reinforcement Learning.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Marcel Torne Villasevil

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

RoboHive: A Unified Framework for Robot Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance.

[BibT_eX]

[DOI]

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

TactoFind: A Tactile Only System for Object Retrieval.

[BibT_eX]

[DOI]

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

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning.

[BibT_eX]

[DOI]

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

Guiding Pretraining in Reinforcement Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning to Extrapolate: A Transductive Approach.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback.

[BibT_eX]

[DOI]

Max Balsells

Marcel Torne Villasevil

Proceedings of the Conference on Robot Learning, 2023

Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective.

[BibT_eX]

[DOI]

Max Simchowitz

Abhishek Gupta

Kaiqing Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2022

Distributionally Adaptive Meta Reinforcement Learning.

[BibT_eX]

[DOI]

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

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity.

[BibT_eX]

[DOI]

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

Autonomous Reinforcement Learning: Formalism and Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

How to Train Your Robot: Techniques for Enabling Robotic Learning in the Real World

[BibT_eX]

[DOI]

Abhishek Gupta

PhD thesis, 2021

ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors.

[BibT_eX]

[DOI]

CoRR, 2021

Persistent Reinforcement Learning via Subgoal Curricula.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teachable Reinforcement Learning via Advice Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Autonomous Reinforcement Learning via Subgoal Curricula.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Which Mutual-Information Representation Learning Objectives are Sufficient for Control?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention.

[BibT_eX]

[DOI]

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

MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.

[BibT_eX]

[DOI]

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

Learning to Reach Goals via Iterated Supervised Learning.

[BibT_eX]

[DOI]

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

Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation.

[BibT_eX]

[DOI]

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

2020

Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift.

[BibT_eX]

[DOI]

CoRR, 2020

Ecological Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Accelerating Online Reinforcement Learning with Offline Datasets.

[BibT_eX]

[DOI]

CoRR, 2020

Gradient Surgery for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction.

[BibT_eX]

[DOI]

Aviral Kumar

Abhishek Gupta

Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Ingredients of Real World Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning To Reach Goals Without Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning latent state representation for speeding up exploration.

[BibT_eX]

[DOI]

CoRR, 2019

Guided Meta-Policy Search.

[BibT_eX]

[DOI]

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

Unsupervised Curricula for Visual Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

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

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Domain Randomization for Active Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Actionable Representations with Goal Conditioned Policies.

[BibT_eX]

[DOI]

Dibya Ghosh

Abhishek Gupta

Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

Diversity is All You Need: Learning Skills without a Reward Function.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Guiding Policies with Language via Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Automatically Composing Representation Transformations as a Means for Generalization.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Soft Actor-Critic Algorithms and Applications.

[BibT_eX]

[DOI]

CoRR, 2018

Guiding Policies with Language via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Meta-Learning for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

Meta-Reinforcement Learning of Structured Exploration Strategies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2017

Learning modular neural network policies for multi-task and multi-robot transfer.

[BibT_eX]

[DOI]

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

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.

[BibT_eX]

[DOI]

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

2016

Learning Dexterous Manipulation Policies from Experience and Imitation.

[BibT_eX]

[DOI]

CoRR, 2016

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration.

[BibT_eX]

[DOI]

CoRR, 2016

Learning dexterous manipulation for a soft robotic hand from human demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Guided search for task and motion plans using learned heuristics.

[BibT_eX]

[DOI]

Rohan Chitnis

Dylan Hadfield-Menell

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning force-based manipulation of deformable objects from multiple demonstrations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Tractability of Planning with Loops.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Abhishek Gupta

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