Ruben Glatt

3 papers · 2021–2022 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (2) ICML (1)

Top co-authors

Mikel Landajuela (3) Claudio P Santiago (3) Brenden K Petersen (3) Daniel faissol (2) Terrell Mundhenk (2) Jacob F Pettit (1) Garrett Mulcahy (1) Ignacio Aravena (1) Nathan Mundhenk (1) Chak Shing Lee (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Mathematics & Optimization (2) Reinforcement Learning (2) Methods (2) Optimization (2) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1)

Keywords

neural network (2) neural-guided search (2) genetic programming (2) symbolic regression (2) combinatorial optimization (2) semantic parsing (1) deep learning (1) autoregressive model (1) evolutionary algorithm (1) symbolic policy (1) large-scale pretraining (1) program seeding (1) expression discovery (1) deep reinforcement learning (1) reinforcement learning (1) policy gradient (1) hybrid algorithm (1)

Papers

A Unified Framework for Deep Symbolic Regression NeurIPS 2022 Discovering symbolic policies with deep reinforcement learning ICML 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021