Lerrel Pinto

According to our database1, Lerrel Pinto authored at least 76 papers between 2016 and 2024.

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Bibliography

2024
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis.
CoRR, 2024

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.
CoRR, 2024

AnySkin: Plug-and-play Skin Sensing for Robotic Touch.
CoRR, 2024

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.
CoRR, 2024

BAKU: An Efficient Transformer for Multi-Task Policy Learning.
CoRR, 2024

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation.
CoRR, 2024

OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

See to Touch: Learning Tactile Dexterity through Visual Incentives.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

diff History for Neural Language Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Behavior Generation with Latent Actions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
diff History for Long-Context Language Agents.
CoRR, 2023

On Bringing Robots Home.
CoRR, 2023

PolyTask: Learning Unified Policies through Behavior Distillation.
CoRR, 2023

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

NetHack is Hard to Hack.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Offline, Test Online: A Real Robot Learning Benchmark.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Simultaneous Navigation and Construction in Grid Worlds.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation.
Proceedings of the Conference on Robot Learning, 2023

Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.
Proceedings of the Conference on Robot Learning, 2023

Improving Long-Horizon Imitation through Instruction Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment.
CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.
CoRR, 2022

The Surprising Effectiveness of Representation Learning for Visual Imitation.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Behavior Transformers: Cloning $k$ modes with one stone.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Playful Interactions for Representation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Context is Everything: Implicit Identification for Dynamics Adaptation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

One After Another: Learning Incremental Skills for a Changing World.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Watch and Match: Supercharging Imitation with Regularized Optimal Transport.
Proceedings of the Conference on Robot Learning, 2022

2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems.
CoRR, 2021

Simultaneous Navigation and Construction Benchmarking Environments.
CoRR, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

RB2: Robotic Manipulation Benchmarking with a Twist.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

State-Only Imitation Learning for Dexterous Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reinforcement Learning with Prototypical Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency.
Proceedings of the 9th International Conference on Learning Representations, 2021

Task-Agnostic Morphology Evolution.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Policy Adaptation during Deployment.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A Framework for Efficient Robotic Manipulation.
CoRR, 2020

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation.
CoRR, 2020

Self-Supervised Policy Adaptation during Deployment.
CoRR, 2020

Learning to Manipulate Deformable Objects without Demonstrations.
Proceedings of the Robotics: Science and Systems XVI, 2020

Swoosh! Rattle! Thump! - Actions that Sound.
Proceedings of the Robotics: Science and Systems XVI, 2020

Automatic Curriculum Learning through Value Disagreement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Hindsight for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Augmented Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchically Decoupled Imitation For Morphological Transfer.
Proceedings of the 37th International Conference on Machine Learning, 2020

Discovering Motor Programs by Recomposing Demonstrations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Visual Imitation Made Easy.
Proceedings of the 4th Conference on Robot Learning, 2020

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation.
Proceedings of the 4th Conference on Robot Learning, 2020

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Data Centric Robot Learning.
PhD thesis, 2019

PyRobot: An Open-source Robotics Framework for Research and Benchmarking.
CoRR, 2019

Robot Learning via Human Adversarial Games.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Environment Probing Interaction Policies.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions.
CoRR, 2018

Asymmetric Actor Critic for Image-Based Robot Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CASSL: Curriculum Accelerated Self-Supervised Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to fly by crashing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning to push by grasping: Using multiple tasks for effective learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Supervision via competition: Robot adversaries for learning tasks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Robust Adversarial Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Improved Learning of Dynamics Models for Control.
Proceedings of the International Symposium on Experimental Robotics, 2016

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

The Curious Robot: Learning Visual Representations via Physical Interactions.
Proceedings of the Computer Vision - ECCV 2016, 2016


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