Bayesian Inverse Reinforcement Learning for Collective Animal Movement

Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are typically set a priori and parameters are tuned from observed behavior trajectories. Instead of making simplifying assumptions across all anticipated scenarios, inverse r...

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Bibliographische Detailangaben

Hauptverfasser:	Schafer, Toryn L. J, Wikle, Christopher K, Hooten, Mevin B
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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