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of 4
pro vyhledávání: '"Hameed, Mohammed Sharafath Abdul"'
This paper introduces a novel combination of scheduling control on a flexible robot manufacturing cell with curiosity based reinforcement learning. Reinforcement learning has proved to be highly successful in solving tasks like robotics and schedulin
Externí odkaz:
http://arxiv.org/abs/2011.08743
Reinforcement learning (RL) is increasingly adopted in job shop scheduling problems (JSSP). But RL for JSSP is usually done using a vectorized representation of machine features as the state space. It has three major problems: (1) the relationship be
Externí odkaz:
http://arxiv.org/abs/2009.03836
This paper presents a novel neural network training approach for faster convergence and better generalization abilities in deep reinforcement learning. Particularly, we focus on the enhancement of training and evaluation performance in reinforcement
Externí odkaz:
http://arxiv.org/abs/2005.12108
Publikováno v:
In Journal of Manufacturing Systems August 2023 69:91-102
