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Dissertation On Adaptive Goal Programming

Adaptive Dynamic Programming for Control Algorithms and; About; Contact; On-Line Adaptive Dynamic Programming for Feedback Control by. Posted on 31.10.2020 by tejo.

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In this paper, we analyze an internal goal structure based on heuristic dynamic programming, named GrHDP, to tackle the 2-D maze navigation problem. Classical reinforcement learning approaches have been introduced to solve this problem in literature, yet no intermediate reward has been assigned before reaching the final goal. In this paper, we integrated one additional network, namely goal

"Toward compiler-driven adaptive execution and its

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2015-11-22: Paper entitled "Fuzzy-Based Goal Representation Adaptive Dynamic Programming" has been accepted by IEEE Trans. on Fuzzy Systems. 2015 -11-20: Paper entitled "Multi-objective Bacterial Foraging Optimization Algorithm Based on Parallel Cell Entropy for Aluminum Electrolysis Production Process" has been accepted by IEEETrans. on

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2/4/2010 · Message passing is one of the most commonly used paradigms of parallel programming. Message Passing Interface, MPI, is a standard used in scientific and high-performance computing. Collective operations are a subset of MPI standard that deals with processes synchronization, data exchange and computation among a group of processes. The collective operations are commonly …

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Dissertation On Adaptive Goal Programming

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10/1/2009 · This paper presents a study on an adaptive traffic signal controller for real-time operation. The controller aims for three operational objectives: dynamic allocation of green time, automatic adjustment to control parameters, and fast revision of signal plans. The control algorithm is built on approximate dynamic programming (ADP).

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Dissertation Adaptive Goal Programming

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Adaptive traffic signal control using approximate dynamic

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"Towards Automatic and Adaptive Optimizations of MPI

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SUPPORTING MULTI-PARADIGM PARALLEL PROGRAMMING ON AN ADAPTIVE RUN-TIME SYSTEM BY CHAO HUANG B.Eng., Tsinghua University, 2001 M.S., University of Illinois at Urbana-Champaign, 2004 DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate College of the