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Automated Planning and Scheduling is among the growing areas in Artificial Intelligence (AI) where mention of LLMs has gained popularity.
Case based reasoning
Xu, L. 1995 · 1995
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PDDL-the planning domain definition language
McDermott, D.; Ghallab, M.; Howe, A.; Knoblock, C.; Ram, A.; Veloso, M.; Weld, D.; and Wilkins, D. 1998 · 1998
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LPG: A Planner Based on Local Search for Planning Graphs with Action Costs
Gerevini, A.; and Serina, I. 2002 · 2002
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Artificial Intelligence, A Modern Approach. Second Edition
Russell, S.; and Norvig, P. 2003 · 2003
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Automated Planning: Theory and Practice
Ghallab, M.; Nau, D.; and Traverso, P. 2004 · 2004
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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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HTN planning: Overview, comparison, and beyond
Georgievski, I.; and Aiello, M. 2015 · 2015
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Photo-Realistic Blocksworld Dataset
Asai, M. 2018 · 2018
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Generating executable action plans with environmentally-aware language models
Gramopadhye, M.; and Szafir, D. 2022 · 2022
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Housekeep: Tidying virtual households using commonsense reasoning
Kant, Y.; Ramachandran, A.; Yenamandra, S.; Gilitschenski, I.; Batra, D.; Szot, A.; and Agrawal, H. 2022 · 2022
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The third AI summer: AAAI Robert S. Engelmore Memorial Lecture
Kautz, H. A. 2022 · 2022
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Neuro-symbolic causal language planning with commonsense prompting
Lu, Y.; Feng, W.; Zhu, W.; Xu, W.; Wang, X. E.; Eckstein, M.; and Wang, W. Y. 2022 · 2022
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Plansformer: Generating symbolic plans using transformers
Pallagani, V.; Muppasani, B.; Murugesan, K.; Rossi, F.; Horesh, L.; Srivastava, B.; Fabiano, F.; and Loreggia, A. 2022 · 2022
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Planning with large language models via corrective re-prompting
Raman, S. S.; Cohen, V.; Rosen, E.; Idrees, I.; Paulius, D.; and Tellex, S. 2022 · 2022
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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
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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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Learning Automata-Based Task Knowledge Representation from Large-Scale Generative Language Models
Yang, Y.; Gaglione, J.-R.; and Topcu, U. 2022 · 2022
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Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games
Abdelnabi, S.; Gomaa, A.; Sivaprasad, S.; Schönherr, L.; and Fritz, M. 2023 · 2023
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Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
Arora, D.; and Kambhampati, S. 2023 · 2023
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Graph of thoughts: Solving elaborate problems with large language models
Besta, M.; Blach, N.; Kubicek, A.; Gerstenberger, R.; Gianinazzi, L.; Gajda, J.; Lehmann, T.; Podstawski, M.; Niewiadomski, H.; Nyczyk, P.; et al. 2023 · 2023
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Do as i can, not as i say: Grounding language in robotic affordances
Brohan, A.; Chebotar, Y.; Finn, C.; Hausman, K.; Herzog, A.; Ho, D.; Ibarz, J.; Irpan, A.; Jang, E.; Julian, R.; et al. 2023 · 2023
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A Framework to Generate Neurosymbolic PDDL-compliant Planners
Capitanelli, A.; and Mastrogiovanni, F. 2023 · 2023
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Grounding large language models in interactive environments with online reinforcement learning
Carta, T.; Romac, C.; Wolf, T.; Lamprier, S.; Sigaud, O.; and Oudeyer, P.-Y. 2023 · 2023
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Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning
Chalvatzaki, G.; Younes, A.; Nandha, D.; Le, A. T.; Ribeiro, L. F.; and Gurevych, I. 2023 · 2023
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Open-vocabulary queryable scene representations for real world planning
Chen, B.; Xia, F.; Ichter, B.; Rao, K.; Gopalakrishnan, K.; Ryoo, M. S.; Stone, A.; and Kappler, D. 2023a · 2023
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Dagan, G.; Keller, F.; and Lascarides, A. 2023 · 2023
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Optimal Scene Graph Planning with Large Language Model Guidance
Dai, Z.; Asgharivaskasi, A.; Duong, T.; Lin, S.; Tzes, M.-E.; Pappas, G.; and Atanasov, N. 2023 · 2023
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Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Dalal, M.; Chiruvolu, T.; Chaplot, D. S.; and Salakhutdinov, R. 2023 · 2023
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Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs
de Zarzà, I.; de Curtò, J.; Roig, G.; Manzoni, P.; and Calafate, C. T. 2023 · 2023
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Leveraging Commonsense Knowledge from Large Language Models for Task and Motion Planning
Ding, Y.; Zhang, X.; Paxton, C.; and Zhang, S. 2023b · 2023
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Palm-e: An embodied multimodal language model
Driess, D.; Xia, F.; Sajjadi, M. S.; Lynch, C.; Chowdhery, A.; Ichter, B.; Wahid, A.; Tompson, J.; Vuong, Q.; Yu, T.; et al. 2023 · 2023
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From Static to Dynamic: A Continual Learning Framework for Large Language Models
Du, M.; Luu, A. T.; Ji, B.; and Ng, S.-k. 2023 · 2023
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Halo: Estimation and reduction of hallucinations in open-source weak large language models
Elaraby, M.; Lu, M.; Dunn, J.; Zhang, X.; Wang, Y.; and Liu, S. 2023 · 2023
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Fabiano, F.; Pallagani, V.; Ganapini, M. B.; Horesh, L.; Loreggia, A.; Murugesan, K.; Rossi, F.; and Srivastava, B. 2023 · 2023
Cited alongside, same era.
Alphazero-like tree-search can guide large language model decoding and training
Feng, X.; Wan, Z.; Wen, M.; Wen, Y.; Zhang, W.; and Wang, J. 2023 · 2023
Cited alongside, same era.
Strategic Reasoning with Language Models
Gandhi, K.; Sadigh, D.; and Goodman, N. D. 2023 · 2023
Cited alongside, same era.
Openagi: When llm meets domain experts
Ge, Y.; Hua, W.; Ji, J.; Tan, J.; Xu, S.; and Zhang, Y. 2023 · 2023
Cited alongside, same era.
Exploring the Limitations of using Large Language Models to Fix Planning Tasks
Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Rana, K.; Haviland, J.; Garg, S.; Abou-Chakra, J.; Reid, I.; and Suenderhauf, N. 2023 · 2023
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Robots that ask for help: Uncertainty alignment for large language model planners
Ren, A. Z.; Dixit, A.; Bodrova, A.; Singh, S.; Tu, S.; Brown, N.; Xu, P.; Takayama, L.; Xia, F.; Varley, J.; et al. 2023 · 2023
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Tptu: Task planning and tool usage of large language model-based ai agents
Ruan, J.; Chen, Y.; Zhang, B.; Xu, Z.; Bao, T.; Du, G.; Shi, S.; Mao, H.; Zeng, X.; and Zhao, R. 2023 · 2023
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Sakib, M. S.; and Sun, Y. 2023 · 2023
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Gragera, A.; and Pozanco, A. 2023 · 2023
Cited alongside, same era.
Graule, M. A.; and Isler, V. 2023 · 2023
Cited alongside, same era.
Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
Gu, Q.; Kuwajerwala, A.; Morin, S.; Jatavallabhula, K. M.; Sen, B.; Agarwal, A.; Rivera, C.; Paul, W.; Ellis, K.; Chellappa, R.; et al. 2023 · 2023
Cited alongside, same era.
Guan, L.; Valmeekam, K.; Sreedharan, S.; and Kambhampati, S. 2023 · 2023
Cited alongside, same era.
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
Hazra, R.; Martires, P. Z. D.; and De Raedt, L. 2023 · 2023
Cited alongside, same era.
Tool documentation enables zero-shot tool-usage with large language models
Hsieh, C.-Y.; Chen, S.-A.; Li, C.-L.; Fujii, Y.; Ratner, A.; Lee, C.-Y.; Krishna, R.; and Pfister, T. 2023 · 2023
Cited alongside, same era.
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning
Hu, Z.; and Shu, T. 2023 · 2023
Cited alongside, same era.
War and peace (waragent): Large language model-based multi-agent simulation of world wars
Hua, W.; Fan, L.; Li, L.; Mei, K.; Ji, J.; Ge, Y.; Hemphill, L.; and Zhang, Y. 2023 · 2023
Cited alongside, same era.
Evaluation of Pretrained Large Language Models in Embodied Planning Tasks
Sarkisyan, C.; Korchemnyi, A.; Kovalev, A. K.; and Panov, A. I. 2023 · 2023
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RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
Sermanet, P.; Ding, T.; Zhao, J.; Xia, F.; Dwibedi, D.; Gopalakrishnan, K.; Chan, C.; Dulac-Arnold, G.; Maddineni, S.; Joshi, N. J.; et al. 2023 · 2023
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Navigation with large language models: Semantic guesswork as a heuristic for planning
Shah, D.; Equi, M.; Osinski, B.; Xia, F.; Ichter, B.; and Levine, S. 2023 · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Shen, Y.; Song, K.; Tan, X.; Li, D.; Lu, W.; and Zhuang, Y. 2023 · 2023
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Vision-Language Interpreter for Robot Task Planning
Shirai, K.; Beltran-Hernandez, C. C.; Hamaya, M.; Hashimoto, A.; Tanaka, S.; Kawaharazuka, K.; Tanaka, K.; Ushiku, Y.; and Mori, S. 2023 · 2023
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Generalized Planning in PDDL Domains with Pretrained Large Language Models
Silver, T.; Dan, S.; Srinivas, K.; Tenenbaum, J. B.; Kaelbling, L. P.; and Katz, M. 2023 · 2023
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ProgPrompt: program generation for situated robot task planning using large language models
Singh, I.; Blukis, V.; Mousavian, A.; Goyal, A.; Xu, D.; Tremblay, J.; Fox, D.; Thomason, J.; and Garg, A. 2023 · 2023
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Llm-planner: Few-shot grounded planning for embodied agents with large language models
Song, C. H.; Wu, J.; Washington, C.; Sadler, B. M.; Chao, W.-L.; and Su, Y. 2023 · 2023
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Cognitive architectures for language agents
Sumers, T.; Yao, S.; Narasimhan, K.; and Griffiths, T. L. 2023 · 2023
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AdaPlanner: Adaptive Planning from Feedback with Language Models
Sun, H.; Zhuang, Y.; Kong, L.; Dai, B.; and Zhang, C. 2023 · 2023
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Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
Tang, X.; Zheng, Z.; Li, J.; Meng, F.; Zhu, S.-C.; Liang, Y.; and Zhang, M. 2023 · 2023
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Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
Valmeekam, K.; Marquez, M.; and Kambhampati, S. 2023 · 2023
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A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models
Webb, T.; Mondal, S. S.; Wang, C.; Krabach, B.; and Momennejad, I. 2023 · 2023
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Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Wei, L.; He, Z.; Zhao, H.; and Yao, Q. 2023 · 2023
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Wong, L.; Grand, G.; Lew, A. K.; Goodman, N. D.; Mansinghka, V. K.; Andreas, J.; and Tenenbaum, J. B. 2023 · 2023
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Integrating Common Sense and Planning with Large Language Models for Room Tidying
Wu, Z.; Ai, B.; and Hsu, D. 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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On the Planning, Search, and Memorization Capabilities of Large Language Models
Yang, Y.; and Tomar, A. 2023 · 2023
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Neuro-Symbolic AI Approaches to Enhance Deep Neural Networks with Logical Reasoning and Knowledge Integration
Yang, Z. 2023 · 2023
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Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
Yang, Z.; Ishay, A.; and Lee, J. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Yao, S.; Yu, D.; Zhao, J.; Shafran, I.; Griffiths, T. L.; Cao, Y.; and Narasimhan, K. 2023 · 2023
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Statler: State-maintaining language models for embodied reasoning
Yoneda, T.; Fang, J.; Li, P.; Zhang, H.; Jiang, T.; Lin, S.; Picker, B.; Yunis, D.; Mei, H.; and Walter, M. R. 2023 · 2023
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EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation
You, W.; Wu, W.; Liang, Y.; Mao, S.; Wu, C.; Cao, M.; Cai, Y.; Guo, Y.; Xia, Y.; Wei, F.; et al. 2023 · 2023
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Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
Zelikman, E.; Huang, Q.; Poesia, G.; Goodman, N.; and Haber, N. 2023 · 2023
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Large language models as zero-shot human models for human-robot interaction
Zhang, B.; and Soh, H. 2023 · 2023
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Planning with Logical Graph-based Language Model for Instruction Generation
Zhang, F.; Jin, K.; and Zhuo, H. H. 2023 · 2023
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Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zhao, Z.; Lee, W. S.; and Hsu, D. 2023 · 2023
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ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Zhou, Z.; Song, J.; Yao, K.; Shu, Z.; and Ma, L. 2023 · 2023
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