Benjamin Van Roy
Professor
Studies reinforcement learning, exploration and information-directed decision making.
Benjamin Van Roy's lab at Stanford works on reinforcement learning. 17 papers since 2023, 11 at top venues, mostly ICML and NeurIPS. 28 alumni, most often to Google DeepMind and Citadel. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 65%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 2 papers2025 · T1 0
- 5 papers2024 · T1 2
- 8 papers2023 · T1 7
T1 venuesOtherVenues: ICML, NeurIPS, CIKM, Management Science, RecSys
Research focuspaper titles that use each topic's words
- Reinforcement learning9 papers
- exploration2 papers
- studies reinforcement0 papers
- decision making0 papers
- making0 papers
Paper list
From the lab homepage.
20262 papers
20252 papers
- Foundations and Trends in Machine LearningContinual Learning as Computationally Constrained Reinforcement Learning (opens in a new tab)
- Foundations and Trends in Machine LearningInformation-Theoretic Foundations for Machine Learning (opens in a new tab)
20245 papers
- ICML (T1)An Information-Theoretic Analysis of In-Context Learning (opens in a new tab)
- ICML (T1)Efficient Exploration for LLMs (opens in a new tab)
- CoLLAsMaintaining Plasticity in Continual Learning via Regenerative Regularization (opens in a new tab)
- RLCPosterior Sampling for Continuing Environments (opens in a new tab)
- ICML WorkshopRLHF and IIA: Perverse Incentives (opens in a new tab)
20238 papers
- NeurIPS (T1)A Definition of Continual Reinforcement Learning (opens in a new tab)
- UAI (T1)Approximate Thompson Sampling via Epistemic Neural Networks (opens in a new tab)
- RecSys (T1)Deep Exploration for Recommendation Systems (opens in a new tab)
- TMLR (T1)Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping (opens in a new tab)
- NeurIPS (T1)Epistemic Neural Networks (opens in a new tab)
- ICML (T1)Leveraging Demonstrations to Improve Online Learning: Quality Matters (opens in a new tab)
- Foundations and Trends in Machine LearningReinforcement Learning, Bit by Bit (opens in a new tab)
- CIKM (T1)Scalable Neural Contextual Bandit for Recommender Systems (opens in a new tab)
Where alumni went28 listed, 64% to industry
Industry 14Academia 8
Most often to
- Google DeepMind
- Citadel
- Jane Street
Also to
- Columbia University
- Carnegie Mellon University
- MIT
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Opens
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- English
- TOEFL/IELTS
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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