Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off

A default assumption in reinforcement learning (RL) and optimal control is that observations arrive at discrete time points on a fixed clock cycle. Yet, many applications involve continuous-time systems where the time discretization, in principle, can be managed. The impact of time discretization on...

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Veröffentlicht in:	arXiv.org 2023-12
Hauptverfasser:	Zhang, Zichen, Kirschner, Johannes, Zhang, Junxi, Zanini, Francesco, Ayoub, Alex, Dehghan, Masood, Schuurmans, Dale
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Discretization Horizon Machine learning Optimal control Temporal resolution Tradeoffs
Online-Zugang:	Volltext
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