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Andrew Szot β most-cited papers & profile Β· Large Language Models
β authors
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overview
Andrew Szot
12
papers Β·
69
citations
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Most-cited papers
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
2021 Β· 25 citations
Retrospectives on the Embodied AI Workshop
2022 Β· 19 citations
Generalization to New Actions in Reinforcement Learning
2020 Β· 10 citations
Large Language Models as Generalizable Policies for Embodied Tasks
2023 Β· 7 citations
Large Language Models as Generalizable Policies for Embodied Tasks
2023 Β· 7 citations
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
2023 Β· 1 citations
Expanding LLM Agent Boundaries with Strategy-Guided Exploration
2026
Ultracua: A Foundation Model For Computer Use Agents With Hybrid Action
2025
Scaling Synthetic Task Generation For Agents Via Exploration
2025
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
2023
Reinforcement Learning via Auxiliary Task Distillation
2024
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI
2024
Topics
Model-Based RL
Meta-RL
Exploration
Policy Gradient
RLHF & Alignment
Code Agents
Browser Agents
Safe RL
Value-Based
Tool Use