Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs.

Finale Doshi Joelle Pineau Nicholas Roy

Published in: ICML (2008)

Keyphrases

reinforcement learning
bayes risk
active learning
learning algorithm
upper and lower bounds
transfer learning
learning process

machine learning
loss function
supervised learning
partially observable markov decision processes
continuous state
optimal policy
reproducing kernel hilbert space

markov decision processes
state space
distortion measure
real valued
posterior probability
dynamic programming

random sampling
labeled data
semi supervised
training examples
unlabeled data
semi supervised learning