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Authors
Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein (0000-0001-8326-5044), Karl Friston, Iain D. Couzin, Alexander Tschantz
Citation
Heins et al., (2022). pymdp: A Python library for active inference in discrete state spaces. Journal of Open Source Software, 7(73), 4098, https://doi.org/10.21105/joss.04098
@article{Heins2022,
doi = {10.21105/joss.04098},
url = {https://doi.org/10.21105/joss.04098},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {73},
pages = {4098},
author = {Conor Heins and Beren Millidge and Daphne Demekas and Brennan Klein and Karl Friston and Iain D. Couzin and Alexander Tschantz},
title = {pymdp: A Python library for active inference in discrete state spaces},
journal = {Journal of Open Source Software}
}
Tags
active inference Markov Decision Process POMDP MDP Reinforcement Learning Artificial Intelligence Bayesian inference free energy principle
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This work is licensed under a Creative Commons Attribution 4.0 International License.
