Bayesian inverse reinforcement learning for collective animal movement-Reference-Cited by-同舟云学术

Bayesian inverse reinforcement learning for collective animal movement

Published:2022-06-01 Issue:2 Volume:16 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Schafer Toryn L. J.¹,Wikle Christopher K.¹,Hooten Mevin B.²

Affiliation:

1. Department of Statistics, University of Missouri

2. U. S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference45 articles.

1. ARORA, S. and DOSHI, P. (2021). A survey of inverse reinforcement learning: Challenges, methods and progress. Artificial Intelligence 297 103500.

2. BELLMAN, R. (1957). Dynamic Programming. Princeton Univ. Press, Princeton, NJ.

3. BODE, N. W., FRANKS, D. W., WOOD, A. J., PIERCY, J. J., CROFT, D. P. and CODLING, E. A. (2012). Distinguishing social from nonsocial navigation in moving animal groups. Amer. Nat. 179 621–632.

4. CHOI, J. and KIM, K.-E. (2011). Map inference for Bayesian inverse reinforcement learning. In Advances in Neural Information Processing Systems 1989–1997.

5. CHOI, J. and KIM, K.-E. (2014). Hierarchical Bayesian inverse reinforcement learning. IEEE Trans. Cybern. 45 793–805.

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