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Planning is a fundamental task in artificial intelligence that involves finding a sequence of actions that achieve a specified goal in a given environment.
Fast Planning Through Planning Graph Analysis
Avrim L Blum and Merrick L Furst · 1997
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PDDL - The Planning Domain Definition Language.pdf, 1998
Malik Ghallab, Adele Howe, Craig Knoblock, Drew McDermott, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins · 1998
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On Reasonable and Forced Goal Orderings and their Use in an Agenda-Driven Planning Algorithm
J. Hoffmann and J. Koehler · 2000
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FF: The Fast-Forward Planning System
Joerg Hoffmann · 2001
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Ordered Landmarks in Planning
J. Hoffmann, J. Porteous, and L. Sebastia · 2004
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The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
Silvia Richter and Matthias Westphal · 2010
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Efficient Natural Language Response Suggestion for Smart Reply, May 2017
Matthew Henderson, Rami Al-Rfou, Brian Strope, Yun-hsuan Sung, Laszlo Lukacs, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, and Ray Kurzweil · 2017
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Textworld: A learning environment for text-based games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Ruo Yu Tao, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler · 2018
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Colbert: Efficient and effective passage search via contextualized late interaction over bert, 2020
Omar Khattab and Matei Zaharia · 2020
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Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents, March 2022
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch · 2022
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances, August 2022
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan, and Andy Zeng · 2022
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PDDL Planning with Pretrained Large Language Models
Tom Silver, Varun Hariprasad, Reece S. Shuttleworth, Nishanth Kumar, Tomás Lozano-Pérez, and Leslie Pack Kaelbling · 2022
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PDDL generators
Jendrik Seipp, Álvaro Torralba, and Jörg Hoffmann · 2022
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PG3: Policy-Guided Planning for Generalized Policy Generation, April 2022
Ryan Yang, Tom Silver, Aidan Curtis, Tomas Lozano-Perez, and Leslie Pack Kaelbling · 2022
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Plansformer: Generating Symbolic Plans using Transformers, December 2022
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, and Andrea Loreggia · 2022
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GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction, May 2023
Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, and Ying Shan · 2023
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Lumos: Learning agents with unified data, modular design, and open-source llms, 2023
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, and Bill Yuchen Lin · 2023
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LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models, March 2023
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, and Yu Su · 2023
Cited alongside, same era.
Autoplanbench: Automatically generating benchmarks for llm planners from pddl, 2023
Katharina Stein and Alexander Koller · 2023
Later among the works it cites.
The falcon series of open language models, 2023
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Mérouane Debbah, Étienne Goffinet, Daniel Hesslow, Julien Launay, Quentin Malartic, Daniele Mazzotta, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo · 2023
Later among the works it cites.
Mistral 7b, 2023
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Later among the works it cites.
GPT-4 Technical Report, March 2023
OpenAI · 2023
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On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark), February 2023
Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo, and Subbarao Kambhampati · 2023
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Spring: Studying the paper and reasoning to play games, 2023
Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom Mitchell, and Yuanzhi Li · 2023
Cited alongside, same era.
Voyager: An Open-Ended Embodied Agent with Large Language Models, May 2023
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
Cited alongside, same era.
Dynamic planning with a llm, 2023
Gautier Dagan, Frank Keller, and Alex Lascarides · 2023
Cited alongside, same era.
Reasoning with Language Model is Planning with World Model, May 2023
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu · 2023
Cited alongside, same era.
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency, May 2023
Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, and Peter Stone · 2023
Cited alongside, same era.
Can large language models really improve by self-critiquing their own plans?, 2023
Karthik Valmeekam, Matthew Marquez, and Subbarao Kambhampati · 2023
Cited alongside, same era.
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change, November 2023
Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati · 2023
Cited alongside, same era.
Tree of thoughts: Deliberate problem solving with large language models, 2023
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
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Many-shot in-context learning, 2024
Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, and Hugo Larochelle · 2024
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Beyond a*: Better planning with transformers via search dynamics bootstrapping, 2024
Lucas Lehnert, Sainbayar Sukhbaatar, DiJia Su, Qinqing Zheng, Paul Mcvay, Michael Rabbat, and Yuandong Tian · 2024
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Llama 3 model card
AI@Meta · 2024
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Code llama: Open foundation models for code, 2024
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Mixtral of experts, 2024
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2024
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Generalized planning in PDDL domains with pretrained large language models
Tom Silver, Soham Dan, Kavitha Srinivas, Josh Tenenbaum, Leslie Kaelbling, and Michael Katz · 2024
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