Andrew M. Saxe

3 papers · 2017–2024 · 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 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Adam C. Earle (2) Benjamin Rosman (2) Andrew M Saxe (1) Jan P. Bauer (1) Kai Sandbrink (1) Alexandra M. Proca (1) Christopher Summerfield (1) Ali Hummos (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core AI (2) Learning Types (2) Deep Learning (1) Reinforcement Learning (1) Applications (1) Architectures (1) Core Methods (1) Methods (1)

Keywords

markov decision process (2) multi-task learning (2) hierarchical reinforcement learning (2) distributed representation (1) non-negative matrix factorization (1) parallel execution (1) modular architecture (1) macro action (1) gated network (1) neural network (1) task abstraction (1) continual learning (1) weight specialization (1) temporal abstraction (1) subtask discovery (1)

Papers

Flexible task abstractions emerge in linear networks with fast and bounded units NeurIPS 2024 Hierarchical Subtask Discovery with Non-Negative Matrix Factorization ICLR 2018 Hierarchy Through Composition with Multitask LMDPs ICML 2017