8 citations · 15 across the 9 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou, Ville Kyrki, Pasi Fränti +1
Bayesian inference has many advantages in decision making of agents (e.g. robotics/simulative agent) over a regular data-driven black-box neural network: Data-efficiency, generaliz…
cs.LG2025
Fixed-sized clusters -Means
Mikko I. Malinen, Pasi Fränti
We present a -means-based clustering algorithm, which optimizes the mean square error, for given cluster sizes. A straightforward application is balanced clustering, where the s…