Blended Planning and Acting: Preliminary Approach, Research Challenges

Authors: Dana Nau, Malik Ghallab, Paolo Traverso

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Reproducibility Variable Result LLM Response
Research Type Theoretical We describe some first steps toward developing such a formalization, and invite readers to carry out research along this line. This focus of this paper is the long-term challenge of developing a formalization of acting that can be useful in practice. Such a formal account is needed, in the same way that a formal account of planning was necessary for research on planning. As steps toward developing such an account, we propose preliminary versions of a hierarchical representation for both planning and acting, and acting and planning algorithms using this representation. We discuss the challenges that must be overcome to extend this work.
Researcher Affiliation Academia Dana S. Nau Department of Computer Science and Institute for Systems Research University of Maryland College Park, MD, USA Malik Ghallab LAAS/CNRS University of Toulouse Toulouse, France Paolo Traverso FBK ICT IRST Trento, Italy
Pseudocode Yes RAE(M) loop for each new task τ in the input stream do candidates {applicable methods for τ} if candidates = then output( τ failed ) else do nondeterministically choose m candidates in the agenda (list of current activities), create an execution stack for τ with method m for each stack σ agenda do Progress(σ) if σ = then remove σ from agenda Figure 4: Simplified version of RAE
Open Source Code No The paper does not contain any statements about making source code publicly available or provide links to code repositories.
Open Datasets No The paper is theoretical and does not describe experiments involving datasets, so there is no information about dataset availability or access.
Dataset Splits No The paper is theoretical and does not describe experiments with data, therefore no training, validation, or test split information is provided.
Hardware Specification No The paper is theoretical and does not describe any experimental setup or specific hardware used for computations.
Software Dependencies No The paper is theoretical and does not describe a software implementation with specific version numbers for its dependencies.
Experiment Setup No The paper is theoretical and does not describe an experimental setup, including hyperparameters or training configurations.