---
title: "Leslie Pack Kaelbling — author profile and papers in our library"
description: "Leslie Pack Kaelbling, MIT Computer Science and Artificial Intelligence Laboratory: 3 papers on Elamur Research (2023–2024), h-index 64…"
canonical: "https://research.elamur.ai/free/en/authors/leslie-pack-kaelbling/"
---
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# Leslie Pack Kaelbling

Leslie Pack Kaelbling has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Alexander A. Alemi](https://md.research.elamur.ai/free/en/authors/alexander-a-alemi/), [Dale Schuurmans](https://md.research.elamur.ai/free/en/authors/dale-schuurmans/), [Izzeddin Gur](https://md.research.elamur.ai/free/en/authors/izzeddin-gur/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5012862284) · [ORCID](https://orcid.org/0000-0001-6054-7145) · [**h-index 64**](https://openalex.org/authors/A5012862284) · [491 works](https://openalex.org/works?filter=author.id:A5012862284) · [29,197 citations](https://openalex.org/works?filter=author.id:A5012862284&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/#papers) · [🔗 Cited 185 times in our library](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6983](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6983)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Leslie+Pack+Kaelbling) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Leslie+Pack+Kaelbling) · [dblp](https://dblp.org/search?q=Leslie+Pack+Kaelbling) · [ACL Anthology](https://aclanthology.org/search/?q=Leslie+Pack+Kaelbling)

## Affiliations

[🎓**Massachusetts Institute of Technology** Cambridge · United States 2000–2026 · 199 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2002–2026 · 116 papers*current*](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Brown University** Providence · United States 1993–2019 · 35 papers](https://md.research.elamur.ai/free/en/universities/brown-university/) · [🎓**Stanford University** Stanford · United States 1986–1991 · 5 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🔬**SRI International** Menlo Park · United States 1986–1988 · 5 papers](https://md.research.elamur.ai/free/en/labs/sri-international/) · [🎓**Duke University** Durham · United States 1998–2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/duke-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Generalized Planning in PDDL Domains with Pretrained Large Language Models](https://md.research.elamur.ai/free/en/papers/silver-2023-generalized-planning-pddl-domains-pretrained/)** *(2023 · 112 citations)* The paper asks whether a pretrained LLM can be a generalized planner rather than a per-task planner. Given a PDDL domain and a few training tasks, the model should produce a program that quickly outputs valid plans for new, usually much larger tasks in that domain. GPT-4 receives the domain and two abbreviated…
2. **[Learning Interactive Real-World Simulators](https://md.research.elamur.ai/free/en/papers/yang-2023-learning-interactive-real-world-simulators/)** *(2023 · 54 citations)* The paper asks whether a generative model can serve as an interactive simulator of the real world, producing the visual result of an action applied to a scene.
3. **[Scaling Exponents Across Parameterizations and Optimizers](https://md.research.elamur.ai/free/en/papers/everett-2024-scaling-exponents-across-parameterizations-optimizers/)** *(2024 · 15 citations)* Scaling a Transformer from small to large width requires choosing how the initialization, parameter multipliers and learning rates change with width.

## All works

19 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Reinforcement Learning: A Survey ↗](https://doi.org/10.1613/jair.301) Journal of Artificial Intelligence Research · no summary yet**Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore*1996 · 9,005 citations*
2. **[Learning Symbolic Models of Stochastic Domains ↗](https://doi.org/10.1613/jair.2113) Journal of Artificial Intelligence Research · no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2007 · 187 citations*
3. **[Generalized Planning in PDDL Domains with Pretrained Large Language Models](https://md.research.elamur.ai/free/en/papers/silver-2023-generalized-planning-pddl-domains-pretrained/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Tom Silver, Soham Dan, Kavitha Srinivas, et al.*2023 · 112 citations*
4. **[Learning planning rules in noisy stochastic worlds ↗](https://openalex.org/W1592960552) no summary yet**Luke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling*2005 · 65 citations*
5. [**Learning Interactive Real-World Simulators arXiv:2310.06114**Sherry Yang, Yilun Du, Kamyar Ghasemipour, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-learning-interactive-real-world-simulators/)
6. **[Learning probabilistic relational planning rules ↗](https://openalex.org/W2157117634) no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2003 · 52 citations*
7. **[Multi-Agent Filtering with Infinitely Nested Beliefs ↗](https://openalex.org/W2124930238) no summary yet**Luke Zettlemoyer, Brian Milch, Leslie Pack Kaelbling*2008 · 20 citations*
8. [**Scaling Exponents Across Parameterizations and Optimizers arXiv:2407.05872**Katie Everett, Lechao Xiao, Mitchell Wortsman, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/everett-2024-scaling-exponents-across-parameterizations-optimizers/)
9. **[Learning Probabilistic Relational Dynamics for Multiple Tasks ↗](https://arxiv.org/abs/1206.5249) arXiv (Cornell University) · no summary yet**Ashwin Deshpande et al.*2012 · 11 citations*
10. **[Logical Particle Filtering ↗](https://doi.org/10.4230/dagsemproc.07161.5) DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yet**Luke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling*2008 · 10 citations*
11. **[Learning and Planning with Probabilistic Relational Rules ↗](https://openalex.org/W87178421) no summary yet**Hanna Pasula et al.*2004 · 5 citations*
12. **[Reasoning about Large Populations with Lifted Probabilistic Inference ↗](https://openalex.org/W1805906695) no summary yet**Kristian Kersting et al.*2007 · 4 citations*
13. **[Learning Planning Rules in Stochastic Worlds ↗](https://openalex.org/W2102024305) National Conference on Artificial Intelligence · no summary yet**Luke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling*2005 · 1 citation*
14. **[Learning Probabilistic Planning Rules ↗](https://openalex.org/W7097886587) no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2014*
15. **[Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (2008) Lifted Probabilistic Inference with Counting Formulas ↗](https://openalex.org/W7098719047) no summary yet**Brian Milch et al.*2013*
16. **[Kaelbling. Learning symbolic models of stochastic domains ↗](https://openalex.org/W7097185653) no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2008*
17. **[Kaelbling. Learning planning rules in noisy stochastic worlds ↗](https://openalex.org/W7098415485) no summary yet**Luke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling*2005*
18. **[Reaching for Dexterous Manipulation MIT EECS Area Exam ↗](https://openalex.org/W7099539857) no summary yet**Exam Committee et al.*2003*
19. **[Shortest Paths in a Dynamic Uncertain Domain ↗](https://openalex.org/W7099721140) no summary yet**David M. Blei, Leslie Pack Kaelbling*1999*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Alexander A. Alemi](https://md.research.elamur.ai/free/en/authors/alexander-a-alemi/)
- [Dale Schuurmans](https://md.research.elamur.ai/free/en/authors/dale-schuurmans/)
- [Izzeddin Gur](https://md.research.elamur.ai/free/en/authors/izzeddin-gur/)
- [Jaehoon Lee](https://md.research.elamur.ai/free/en/authors/jaehoon-lee/)
- [Jascha Sohl-Dickstein](https://md.research.elamur.ai/free/en/authors/jascha-sohl-dickstein/)
- [Jeffrey Pennington](https://md.research.elamur.ai/free/en/authors/jeffrey-pennington/)
- [Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/)
- [Kavitha Srinivas](https://md.research.elamur.ai/free/en/authors/kavitha-srinivas/)
- [Michael Katz](https://md.research.elamur.ai/free/en/authors/michael-katz/)
- [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/)
- [Peter J. Liu](https://md.research.elamur.ai/free/en/authors/peter-j-liu/)
- [Pieter Abbeel](https://md.research.elamur.ai/free/en/authors/pieter-abbeel/)

## Venues

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

- Journal of Artificial Intelligence Research ×2
- [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/)
- DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
- National Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 185 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/leslie-pack-kaelbling/cited-by/).

Updated 3 November 2026
