Demonstration-Regularized RL.

Daniil Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Alexey Naumov Pierre Perrault Michal Valko Pierre Ménard

Published in: ICLR (2024)

Keyphrases

reinforcement learning
multi agent
least squares
function approximation
model free
markov decision processes
learning process
state space
real time
decision trees
reinforcement learning algorithms
regularization method
regularized least squares
risk minimization
total least squares
machine learning