Garrett Thomas

6 papers · 2016–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

NeurIPS (4) CoRL (1) IJCAI (1)

Top co-authors

Sergey Levine (3) Tengyu Ma (3) Pieter Abbeel (2) Yi Wu (2) Aviv Tamar (2) Andrey Kolobov (1) Vibhav Vineet (1) Mihai Jalobeanu (1) Chelsea Finn (1) James Y Zou (1)

Research topics

Reinforcement Learning (4) Applications (4) Methods (4) Artificial Intelligence (3) Machine Learning (3) Learning Paradigms (2) Deep Learning (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization & Theory (1)

Keywords

convolutional neural network (2) value iteration (2) differentiable planning (2) model-based reinforcement learning (2) offline reinforcement learning (1) policy optimization (1) robotic manipulation (1) domain generalization (1) path planning (1) transfer learning (1) deep learning (1) model uncertainty (1) continuous control (1) worst-case performance (1) safe reinforcement learning (1) distributional shift (1) model-based approach (1) trajectory planning (1) value iteration network (1) planning module (1)

Papers

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining CoRL 2023 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Model-based Adversarial Meta-Reinforcement Learning NeurIPS 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 Value Iteration Networks IJCAI 2017 Value Iteration Networks NeurIPS 2016