🧑‍🔬 Peter Stone

🏛️ Affiliations

🎓The University of Texas at AustinAustin · United States2002–2026 · 581 papersEmployment · Professor, Computer Sciencecurrent🏥Brigham and Women's HospitalBoston · United States2016–2021 · 8 paperscurrent🏢SonyTokyo · Japan2020–2025 · 48 papers🎓Carnegie Mellon UniversityPittsburgh · United States1994–2002 · 32 papers🏢AT&TBedminster · United States1997–2007 · 25 papers🏢Sony CorporationNew York · United States2022–2025 · 5 papers🎓Newcastle UniversityNewcastle upon Tyne · United Kingdom2000–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LLM+P: Empowering Large Language Models with Optimal Planning Proficiency (2023 · 216 citations)
   Large language models are good at producing fluent text, but they often fail at long-horizon planning. In a blocksworld example, for instance, GPT-4 proposes an invalid move sequence. LLM+P addresses this by letting the LLM do translation and handing the search to a classical planner. In LLM+P, the LLM rewrites a…
2. Longhorn: State Space Models are Amortized Online Learners (2024 · 11 citations)
   Transformers become expensive on long inputs because their cost grows quadratically with sequence length. State space models (SSMs) decode in linear time, but their recurrences are mostly hand-designed and lack a shared rationale. The authors treat every sequence-mixing layer as a learner that solves an online…

All works

15 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Outracing champion Gran Turismo drivers with deep reinforcement learning ↗Nature · no summary yetPeter R. Wurman et al.2022 · 372 citations
2. LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning ↗neural information processing systems · no summary yetBo Liu et al.2023 · 235 citations
3. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
4. Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiaxun Cui et al.2022 · 138 citations
5. Grounded Action Transformation for Robot Learning in Simulation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJosiah P. Hanna, Peter Stone2017 · 76 citations
6. Automatic Curriculum Graph Generation for Reinforcement Learning Agents ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMaxwell Svetlik et al.2017 · 75 citations
7. Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSamuel Barrett, Peter Stone2015 · 68 citations
8. CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShiqi Zhang, Peter Stone2015 · 58 citations
9. Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetPatrick MacAlpine et al.50 citations
10. VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors ↗arXiv (Cornell University) · no summary yetYifeng Zhu et al.2022 · 31 citations
11. Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition ↗arXiv (Cornell University) · no summary yetBo Liu et al.2021 · 12 citations
12. Longhorn: State Space Models are Amortized Online LearnersarXiv:2407.14207Bo Liu, Rui Wang, Lemeng Wu, et al.2024 · 11 citations
13. Causal Dynamics Learning for Task-Independent State Abstraction ↗arXiv (Cornell University) · no summary yetZizhao Wang et al.2022 · 9 citations
14. Learning Generalizable Manipulation Policies with Object-Centric 3D Representations ↗arXiv (Cornell University) · no summary yetYifeng Zhu et al.2023 · 3 citations
15. Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZizhao Wang et al.2024 · 2 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Bo Liu ×2
• Qiang Liu ×2
• Lemeng Wu
• Rui Wang
• Shiqi Zhang
• Xiaohan Zhang
• Yihao Feng

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the AAAI Conference on Artificial Intelligence ×6
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Nature
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 312 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated 3 November 2026

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