Chris Hesse

3 papers · 2019–2020 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICML (2) NeurIPS (1)

Top co-authors

John Schulman (2) Karl Cobbe (2) Christopher Berner (1) Jacob Hilton (1) Scott Gray (1) Alec Radford (1) Clemens Winter (1) Dario Amodei (1) Jeffrey Wu (1) Arvind Neelakantan (1)

Research topics

Reinforcement Learning (2) Methods (2) Artificial Intelligence (1) Machine Learning (1) Application Areas (1) Applications (1) Core AI (1) Learning Paradigms (1) Optimization & Theory (1)

Keywords

deep reinforcement learning (1) reinforcement learning (1) sample efficiency (1) few-shot learning (1) domain generalization (1) data augmentation (1) procedural generation (1) autoregressive model (1) language model (1) foundation model (1) procedural content generation (1) convolutional architecture (1) procedurally generated environment (1) text interaction (1)

Papers

Language Models are Few-Shot Learners NeurIPS 2020 Leveraging Procedural Generation to Benchmark Reinforcement Learning ICML 2020 Quantifying Generalization in Reinforcement Learning ICML 2019