Quantum Algorithms for Reinforcement Learning with a Generative Model.

Daochen Wang Aarthi Sundaram Robin Kothari Ashish Kapoor Martin Roetteler

Published in: CoRR (2021)

Keyphrases

generative model
probabilistic model
reinforcement learning
machine learning
learning algorithm
prior knowledge
data sets
semi supervised
optimal policy
bayesian framework
posterior probability
markov chain monte carlo