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Recent work has considered whether large language models (LLMs) can function as planners: given a task, generate a plan.
Language models are few-shot learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 1901
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Learning and executing generalized robot plans
Fikes, R. E.; Hart, P. E.; and Nilsson, N. J. 1972 · 1972
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Planning for Conjunctive Goals
Chapman, D. 1987 · 1987
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Inductive logic programming
Muggleton, S. 1991 · 1991
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The 1998 AI Planning Systems Competition
McDermott, D. 2000 · 1998
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On the NP-completeness of the Slither Link puzzle
Takayuki, Y. 2000 · 2000
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Learning action strategies for planning domains using genetic programming
Levine, J.; and Humphreys, D. 2003 · 2003
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VAL: Automatic plan validation, continuous effects and mixed initiative planning using PDDL
Howey, R.; Long, D.; and Fox, M. 2004 · 2004
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Planning with Loops
Levesque, H. 2005 · 2005
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Generalized Planning With Deep Reinforcement Learning
Rivlin, O.; Hazan, T.; and Karpas, E. 2020 · 2005
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The fast downward planning system
Helmert, M. 2006 · 2006
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Learning Domain-Specific Planners from Example Plans
Winner, E. Z. 2008 · 2008
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The LAMA planner: Guiding Cost-based Anytime Planning with Landmarks
Richter, S.; and Westphal, M. 2010 · 2010
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Foundations and applications of generalized planning
Srivastava, S. 2011 · 2011
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Directed Search for Generalized Plans Using Classical Planners
Srivastava, S.; Immerman, N.; Zilberstein, S.; and Zhang, T. 2011 · 2011
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Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
Sutton, R. S.; Modayil, J.; Delp, M.; Degris, T.; Pilarski, P. M.; White, A.; and Precup, D. 2011 · 2011
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Syntax-guided synthesis
Alur, R.; Bodik, R.; Juniwal, G.; Martin, M. M.; Raghothaman, M.; Seshia, S. A.; Singh, R.; Solar-Lezama, A.; Torlak, E.; and Udupa, A. 2013 · 2013
Earlier work this paper cites.
Policies that generalize: Solving many planning problems with the same policy
Bonet, B.; and Geffner, H. 2015 · 2015
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Computing plans with control flow and procedures using a classical planner
Jiménez, S.; and Jonsson, A. 2015 · 2015
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Universal value function approximators
Schaul, T.; Horgan, D.; Gregor, K.; and Silver, D. 2015 · 2015
Cited alongside, same era.
Finding diverse high-quality plans for hypothesis generation
Sohrabi, S.; Riabov, A. V.; Udrea, O.; and Hassanzadeh, O. 2016 · 2016
Cited alongside, same era.
Program synthesis
Gulwani, S.; Polozov, O.; Singh, R.; et al. 2017 · 2017
Cited alongside, same era.
Features, Projections, and Representation Change for Generalized Planning
Bonet, B.; and Geffner, H. 2018 · 2018
Cited alongside, same era.
Computing hierarchical finite state controllers with classical planning
Segovia-Aguas, J.; Jiménez, S.; and Jonsson, A. 2018 · 2018
Cited alongside, same era.
A review of generalized planning
Jiménez, S.; Segovia-Aguas, J.; and Jonsson, A. 2019 · 2019
Skill Induction and Planning with Latent Language
Sharma, P.; Torralba, A.; and Andreas, J. 2022 · 2022
Later among the works it cites.
PDDL Planning with Pretrained Large Language Models
Silver, T.; Hariprasad, V.; Shuttleworth, R. S.; Kumar, N.; Lozano-Pérez, T.; and Kaelbling, L. P. 2022 · 2022
Later among the works it cites.
Progprompt: Generating situated robot task plans using large language models
Singh, I.; Blukis, V.; Mousavian, A.; Goyal, A.; Xu, D.; Tremblay, J.; Fox, D.; Thomason, J.; and Garg, A. 2022 · 2022
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Large Language Models Still Can’t Plan (A Benchmark for LLMs on Planning and Reasoning about Change)
Valmeekam, K.; Olmo, A.; Sreedharan, S.; and Kambhampati, S. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Chi, E.; Le, Q.; and Zhou, D. 2022 · 2022
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Cited alongside, same era.
Reshaping diverse planning
Katz, M.; and Sohrabi, S. 2020 · 2020
Cited alongside, same era.
Evaluating large language models trained on code
Chen, M.; Tworek, J.; Jun, H.; Yuan, Q.; Pinto, H. P. d. O.; Kaplan, J.; Edwards, H.; Burda, Y.; Joseph, N.; Brockman, G.; et al. 2021 · 2021
Cited alongside, same era.
Generalized Planning as Heuristic Search
Segovia-Aguas, J.; Jiménez, S.; and Jonsson, A. 2021 · 2021
Cited alongside, same era.
Do as I can, not as I say: Grounding language in robotic affordances
Ahn, M.; Brohan, A.; Brown, N.; Chebotar, Y.; Cortes, O.; David, B.; Finn, C.; Gopalakrishnan, K.; Hausman, K.; Herzog, A.; et al. 2022 · 2022
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Chowdhery, A.; Narang, S.; Devlin, J.; Bosma, M.; Mishra, G.; Roberts, A.; Barham, P.; Chung, H. W.; Sutton, C.; Gehrmann, S.; et al. 2022 · 2022
Cited alongside, same era.
Collins, K. M.; Wong, C.; Feng, J.; Wei, M.; and Tenenbaum, J. B. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
PG3: Policy-Guided Planning for Generalized Policy Generation
Yang, R.; Silver, T.; Curtis, A.; Lozano-Perez, T.; and Kaelbling, L. P. 2022 · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S.; Chandrasekaran, V.; Eldan, R.; Gehrke, J.; Horvitz, E.; Kamar, E.; Lee, P.; Lee, Y. T.; Li, Y.; Lundberg, S.; et al. 2023 · 2023
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MathPrompter: Mathematical Reasoning using Large Language Models
Imani, S.; Du, L.; and Shrivastava, H. 2023 · 2023
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Self-planning Code Generation with Large Language Model
Jiang, X.; Dong, Y.; Wang, L.; Shang, Q.; and Li, G. 2023 · 2023
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Text2motion: From natural language instructions to feasible plans
Lin, K.; Agia, C.; Migimatsu, T.; Pavone, M.; and Bohg, J. 2023 · 2023
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LLM+ P: Empowering Large Language Models with Optimal Planning Proficiency
Liu, B.; Jiang, Y.; Zhang, X.; Liu, Q.; Zhang, S.; Biswas, J.; and Stone, P. 2023 · 2023
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CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Nijkamp, E.; Pang, B.; Hayashi, H.; Tu, L.; Wang, H.; Zhou, Y.; Savarese, S.; and Xiong, C. 2023 · 2023
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OpenAI. 2023 · 2023
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Toolformer: Language models can teach themselves to use tools
Schick, T.; Dwivedi-Yu, J.; Dessì, R.; Raileanu, R.; Lomeli, M.; Zettlemoyer, L.; Cancedda, N.; and Scialom, T. 2023 · 2023
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Predicate Invention for Bilevel Planning
Silver, T.; Chitnis, R.; Kumar, N.; McClinton, W.; Lozano-Perez, T.; Kaelbling, L. P.; and Tenenbaum, J. 2023 · 2023
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Conversational Automated Program Repair
Xia, C. S.; and Zhang, L. 2023 · 2023
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Translating natural language to planning goals with large-language models
Xie, Y.; Yu, C.; Zhu, T.; Bai, J.; Gong, Z.; and Soh, H. 2023 · 2023
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Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
Zheng, W.; Sharan, S.; Jaiswal, A. K.; Wang, K.; Xi, Y.; Xu, D.; and Wang, Z. 2023 · 2023
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