Results 11 to 20 of about 5,882,386 (325)

Adaptive hierarchical learning for uncertainty-aware distributed energy resource planning [PDF]

open access: yesCommunications Engineering
The proliferation of distributed energy resources introduces multi-source uncertainties, including implicit uncertainties arising from third-party operators’ partial observability of security constraints, challenging traditional distribution network ...
Yue Xiang   +8 more
doaj   +2 more sources

Hierarchical Plan Repair via Plan Recognition and Plan Correction

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Hierarchical planning extends classical planning by introducing a hierarchy of tasks describing how tasks decompose into subtasks until primitive tasks -- actions -- forming a plan are obtained. Plan repair deals with plans that failed to execute due to
Kristýna Pantůčková, Roman Barták
doaj   +2 more sources

Hierarchical planning under uncertainty

open access: yes, 2018
The recent years have seen significant progress in the fields of computer science and the engineering sciences, leading to a plethora of systems and services aimed at simplifying the organization of everyday life. The great potential of these utilities is however hindered by their complexity as well as the complexity of their interplay.
Felix Richter
openaire   +2 more sources

Hierarchical Production Planning [PDF]

open access: yesInternational Journal of Clothing Science and Technology, 2001
Hierarchical production planning basically involves the decomposition of decision problems in a production environment and the design of a sequential solution procedure, the required information and the organizational systems. A hierarchical decision process in a decentralized organization implies that upper level decisions are made first to impose ...
Melissa R. Bowers, Anurag Agarwal
  +5 more sources

Compositional Foundation Models for Hierarchical Planning [PDF]

open access: yesNeural Information Processing Systems, 2023
To make effective decisions in novel environments with long-horizon goals, it is crucial to engage in hierarchical reasoning across spatial and temporal scales.
A. Ajay   +9 more
semanticscholar   +1 more source

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Diffusion models have demonstrated strong potential for robotic trajectory planning. However, generating coherent trajectories from high-level instructions remains challenging, especially for long-range composition tasks requiring multiple sequential ...
Zhixuan Liang   +5 more
semanticscholar   +1 more source

Hierarchical Planning and Control for Box Loco-Manipulation [PDF]

open access: yesProceedings of the ACM on Computer Graphics and Interactive Techniques, 2023
Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans.
Zhaoming Xie   +4 more
semanticscholar   +1 more source

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning [PDF]

open access: yesIEEE Robotics and Automation Letters, 2022
Offline Reinforcement learning (RL) has shown potent in many safe-critical tasks in robotics where exploration is risky and expensive. However, it still struggles to acquire skills in temporally extended tasks.
Jinning Li   +3 more
semanticscholar   +1 more source

TDLE: 2-D LiDAR Exploration with Hierarchical Planning Using Regional Division [PDF]

open access: yes2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023
Exploration systems are critical for enhancing the autonomy of robots. Due to the unpredictability of the future planning space, existing methods either adopt an inefficient greedy strategy, or require a lot of resources to obtain a global solution.
Xuyang Zhao   +3 more
semanticscholar   +1 more source

Deep Hierarchical Planning from Pixels [PDF]

open access: yesNeural Information Processing Systems, 2022
Intelligent agents need to select long sequences of actions to solve complex tasks. While humans easily break down tasks into subgoals and reach them through millions of muscle commands, current artificial intelligence is limited to tasks with horizons ...
Danijar Hafner   +3 more
semanticscholar   +1 more source

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