nathaniel daw

3 papers · 2021–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze ❓ The Questioner

Venues

NeurIPS (2) ICLR (1)

Top co-authors

Ishita Dasgupta (2) Sreejan Kumar (2) Karthik Narasimhan (1) Tom Griffiths (1) Thomas Griffiths (1) Simon Schug (1) Jonathan D. Cohen (1) Robert Hawkins (1) Michael Y Hu (1) Seijin Kobayashi (1)

Research topics

Machine Learning (3) Optimization & Theory (2) Artificial Intelligence (1) Reinforcement Learning (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1) Learning Types (1) Methods (1)

Keywords

representation learning (1) reinforcement learning (1) model-based reinforcement learning (1) variance reduction (1) natural language (1) inductive bia (1) program induction (1) counterfactual analysis (1) human-like behavior (1) long-term credit assignment (1) structured task distribution (1) compositional grammar (1)

Papers

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis NeurIPS 2023 Using natural language and program abstractions to instill human inductive biases in machines NeurIPS 2022 Meta-Learning of Structured Task Distributions in Humans and Machines ICLR 2021