2025 · Andrew Szot, Bogdan Mazoure, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 30

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Scaling Synthetic Task Generation for Agents via Exploration

2025 · Ramrakhya, Ram, Szot, Andrew, et al. · arXiv (Cornell University) · 25

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Skill Transformer: A Monolithic Policy for Mobile Manipulation

2023 · Xiaoyu Huang, Dhruv Batra, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 25

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Generalization to New Actions in Reinforcement Learning

2020 · Jain, Ayush, Szot, Andrew, et al. · arXiv (Cornell University) · 24

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Grounding Multimodal Large Language Models in Actions

2024 · Andrew Szot, Bogdan Mazoure, et al. · neural information processing systems · 22

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An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation

2023 · Brennan Shacklett, Luc Guy Rosenzweig, et al. · ACM Transactions on Graphics · 19

ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI

2024 · Elawady, Ahmad, Chhablani, Gunjan, et al. · arXiv (Cornell University) · 14

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Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge

2024 · Yenamandra, Sriram, Ramachandran, Arun, et al. · arXiv (Cornell University) · 13

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Expanding LLM Agent Boundaries with Strategy-Guided Exploration

2026 · Szot, Andrew, Kirchhof, Michael, et al. · arXiv (Cornell University) · 9

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Adaptive Coordination in Social Embodied Rearrangement

2023 · Szot, Andrew, Jain, Unnat, et al. · arXiv (Cornell University) · 9

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Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second

2023 · Vincent-Pierre Berges, Andrew Szot, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 8

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Generalizable Imitation Learning from Observation via Inferring Goal Proximity

2021 · Youngwoon Lee, Andrew Szot, et al. · neural information processing systems · 7

BC-IRL: Learning Generalizable Reward Functions from Demonstrations

2023 · Szot, Andrew, Zhang, Amy, et al. · arXiv (Cornell University) · 6

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Reinforcement Learning via Auxiliary Task Distillation

2024 · Abhinav Narayan Harish, Larry Heck, et al. · Lecture notes in computer science · 2

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Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis

2026 · Szot, Andrew, Abnar, Samira, et al. · arXiv (Cornell University) · 1

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