Reward Maximization Through Discrete Active Inference.

Lancelot Da Costa Noor Sajid Thomas Parr Karl J. Friston Ryan Smith

Published in: Neural Comput. (2023)

Keyphrases

reinforcement learning
bayesian networks
objective function
information systems
inference process
discrete version
data sets
machine learning
probabilistic inference
random fields
discrete geometry
genetic algorithm
finite number
inference engine
dynamic bayesian networks
bayesian model