multiRL

cranv0.3.7

Reinforcement Learning Tools for Multi-Armed Bandit. A flexible general-purpose toolbox for implementing Rescorla-Wagner models in multi-armed bandit tasks. As the successor and functional extension of the 'binaryRL' package, 'multiRL' modularizes the Markov Decision Process (MDP) into six core components. This framework enables users to construct cus

License GPL-3strong copyleft0 versions1 maintainers12 deps61 weekly dl
https://CRAN.R-project.org/package=multiRL
52
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[email protected] is safe to use (health: 52/100)

Health breakdown0 – 100
25/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
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0
none known

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First published · 2026-03-31 11:32:03

Last updated · 2026-03-31T10:00:02+00:00

multiRL — Health Score 52/100 | DepScope