← Authors

Lerrel Pinto

46 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (43) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (46) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (138) πŸ”₯ Unstoppable (9)

Conferences

ICLR (11) CORL (9) NIPS (9) ICML (8) RSS (8) AAAI (1)

Top co-authors

Pieter Abbeel (11) Abhinav Gupta (8) Siddhant Haldar (6) Rob Fergus (6) Ulyana Piterbarg (4) Nur Muhammad Mahi Shafiullah (4) Irmak Guzey (3) Soumith Chintala (3) Denis Yarats (3) Alexei A Efros (2)

Keywords

imitation learning (9) robot manipulation (8) reinforcement learning (7) behavior cloning (5) domain randomization (4) robotic manipulation (4) self-supervised learning (4) representation learning (3) visual representation (3) domain generalization (3) visual imitation (2) sim-to-real transfer (2) transformer architecture (2) inverse reinforcement learning (2) data augmentation (2) robot learning (2) deformable object manipulation (2) interactive learning (1) multi-task learning (1) adversarial learning (1)

Papers

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ICLR 2025
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning ICML 2025
RUKA: Rethinking the Design of Humanoid Hands with Learning RSS 2025
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis ICLR 2025
Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation CORL 2025
diff History for Neural Language Agents ICML 2024
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling ICML 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NIPS 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning NIPS 2024
Demonstrating OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics RSS 2024
Behavior Generation with Latent Actions ICML 2024
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation CORL 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction ICML 2024
Improving Long-Horizon Imitation through Instruction Prediction AAAI 2023
NetHack is Hard to Hack NIPS 2023
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation CORL 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play CORL 2023
Learning Simultaneous Navigation and Construction in Grid Worlds ICLR 2023
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data ICLR 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations RSS 2023
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory RSS 2023
One After Another: Learning Incremental Skills for a Changing World ICLR 2022
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning ICLR 2022
The Surprising Effectiveness of Representation Learning for Visual Imitation RSS 2022
Behavior Transformers: Cloning $k$ modes with one stone NIPS 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport CORL 2022
Self-Supervised Policy Adaptation during Deployment ICLR 2021
Reinforcement Learning with Prototypical Representations ICML 2021
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency ICLR 2021
Task-Agnostic Morphology Evolution ICLR 2021
Discovering Motor Programs by Recomposing Demonstrations ICLR 2020
Automatic Curriculum Learning through Value Disagreement NIPS 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation CORL 2020
Visual Imitation Made Easy CORL 2020
Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CORL 2020
Reinforcement Learning with Augmented Data NIPS 2020
Generalized Hindsight for Reinforcement Learning NIPS 2020
Swoosh! Rattle! Thump! - Actions that Sound RSS 2020
Learning to Manipulate Deformable Objects without Demonstrations RSS 2020
Environment Probing Interaction Policies ICLR 2019
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NIPS 2018
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation CORL 2018
Asymmetric Actor Critic for Image-Based Robot Learning RSS 2018
Robust Adversarial Reinforcement Learning ICML 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks NIPS 2017