- 會議論文
- OpenAccess
Parameter Selection in Reinforcement Learning
並列摘要
In order to clarify how parameters could influence the performance of reinforcement learning, this paper provides a systematical approach to study the relation between the selection of parameters and the performance. We will provide a brief review of reinforcement learning. Then, we adopt an example from a well-known MOOC platform, Udacity, to demonstrate how reinforcement learning works and the relation between parameters and performance. Simulation results will also be provided.
延伸閱讀
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