Výsledky vyhledávání - "Approximate dynamic programming problem"

How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system Autor Fu, Yangyang, Xu, Shichao, Zhu, Qi, O’Neill, Zheng, Adetola, Veronica

“…Both model predictive control (MPC) and deep reinforcement learning control (DRL) have been presented as a way to approximate the true optimality of a dynamic…”
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How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system Autor Fu, Yangyang, Xu, Shichao, Zhu, Qi, O’Neill, Zheng, Adetola, Veronica

“…Both model predictive control (MPC) and deep reinforcement learning control (DRL) have been presented as a way to approximate the true optimality of a dynamic…”
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Matching DNN Compression and Cooperative Training with Resources and Data Availability Autor Malandrino, F., Giacomo, G. Di, Karamzade, A., Levorato, M., Chiasserini, C. F.

“…To make machine learning (ML) sustainable and apt to run on the diverse devices where relevant data is, it is essential to compress ML models as needed, while…”
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A Learning Approach to Multi-robot Task Allocation with Priority Constraints and Uncertainty Autor Deng, Fuqin, Huang, Huanzhao, Fu, Lanhui, Yue, Hongwei, Zhang, Jianmin, Wu, Zexiao, Lam, Tin Lun

“…Multi-robot task allocation has an important impact on the efficiency of multi-robot collaboration. For single-shot allocation without complicated constraints,…”
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Dynamics of discrete and continuous spatially distributed systems Autor Sokolov, Yury

“…In this dissertation we consider some dynamical systems and their properties. We study the stability of a discrete system, which corresponds to an approximate dynamic programming problem…”
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Matching DNN Compression and Cooperative Training with Resources and Data Availability Autor Malandrino, Francesco, Giuseppe Di Giacomo, Karamzade, Armin, Levorato, Marco, Chiasserini, Carla Fabiana

“…To make machine learning (ML) sustainable and apt to run on the diverse devices where relevant data is, it is essential to compress ML models as needed, while…”
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Approximate dynamic programming : solving the curses of dimensionality Autor Powell, Warren B.

“… for complex classes of approximate dynamic programming problems Understanding approximate dynamic programming (ADP…”
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Dual Heuristic Programming Based Neurocontroller for Vibration Isolation Control Autor Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong Liu

“…The dual heuristic programming (DHP) approach has a superior capability to solve approximate dynamic programming problems in the family of adaptive critic designs (ACDs…”
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Approximate dynamic programming using support vector regression Autor Bethke, B., How, J.P., Ozdaglar, A.

“…). It provides an overview of commonly used cost approximation architectures in approximate dynamic programming problems, explains some difficulties encountered by these architectures, and argues…”
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Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP Autor Ilin, R., Kozma, R., Werbos, P.J.

“…Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP's, in particular for solving approximate dynamic programming problems…”
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LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming Autor Si-Yao Fu, Guo-Sheng Yang, Zeng-Guang Hou

“…The dual heuristic programming (DHP) approach has a superior ability for solving approximate dynamic programming problems in adaptive critic designs (ACD…”
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