A Mixture of Surprises for Unsupervised Reinforcement Learning.

Andrew Zhao Matthieu Gaetan Lin Yangguang Li Yong-Jin Liu Gao Huang

Published in: CoRR (2022)

Keyphrases

reinforcement learning
unsupervised learning
supervised learning
mixture model
function approximation
finite mixture model
expectation maximization
semi supervised

multi agent reinforcement learning
reinforcement learning algorithms
learning algorithm
temporal difference
markov decision processes
autonomous learning
data sets
action selection

robotic control
optimal policy
data driven
dynamic programming
multi agent
supervised classification
model free

markov decision process
state space
density estimation
topic modeling
gaussian mixture model
dirichlet distribution
neural network