Ethan Brooks

3 papers · 2021–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

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

Top co-authors

Richard L Lewis (2) Satinder Singh (2) Emilio Parisotto (1) Angelos Filos (1) Michael Laskin (1) Volodymyr Mnih (1) Himanshu Sahni (1) Junhyuk Oh (1) Janarthanan Rajendran (1) DJ Strouse (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Core AI (2) Natural Language Processing (1) Reinforcement Learning (1) Applications (1) Architectures (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Resources & Methods (1)

Keywords

reinforcement learning (3) in-context learning (2) imitation learning (1) attention mechanism (1) instruction following (1) policy iteration (1) reward learning (1) foundation model (1) zero-shot generalization (1) causal transformer (1) control flow (1) large language model (1) attention architecture (1) algorithm distillation (1) trial-and-error interaction (1) few-shot learning (1)

Papers

In-context Reinforcement Learning with Algorithm Distillation ICLR 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021