Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks

Luise Ge; Michael Lanier; Anindya Sarkar; Bengisu Guresti; Chongjie Zhang; Yevgeniy Vorobeychik

2025 ICML ICML 2025

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks

Abstract

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🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning and Robotics

Authors

Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik

Topics

Machine Learning > Optimization & Theory > Learning Theory Robotics > Capabilities > Motion Planning Reinforcement Learning > Methods > Meta-Learning

Keywords

few-shot learning sample complexity near-optimal policy task embedding gradient-based approach policy committee

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