Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...
Abstract: In this article, a novel neuro-fuzzy-based evolution-guided Q-learning (EGQL) algorithm is established for solving the optimal control problem of unknown nonlinear systems. To enhance the ...
Negative thinking is a self-reinforcing cognitive control algorithm that proactively estimates future disadvantages or threats to minimize losses. While generally viewed as "pessimism" or "weakness," ...
Antitrust laws presume a meeting of minds. Section 3(1) of the Competition Act, 2002 prohibits any agreement causing an ...
Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.
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Hybrid genetic algorithm and Q-learning-based solution for the time-variant berth and quay crane allocation problem Chengji Liang Dong Tang Rui Zhao Yu Wang Frontiers in Industrial Engineering doi ...
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