Exploring tabular Q-learning for single machine job dispatching
Reinforcement Learning (RL) studies the problem of how an autonomous agent can learn, while interacting with its environment, to choose the appropriate actions for achieving its goals. In this report, we will be exploring the application of tabular Q-Learning, a type of RL, to single machine job dis...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/77872 |