Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning.

Roman Belaire Arunesh Sinha Pradeep Varakantham

Published in: CoRR (2024)

Keyphrases

reinforcement learning
error minimization
least squares
probabilistic model
objective function
singular value decomposition
squared error
machine learning
bayesian networks
image compression
learning algorithm
computer vision
dynamic programming
principal component analysis
generative model