This chapter discusses reinforcement learning, a technique that can be used to learn when to provide what kind of feedback or intervention to a user to better accomplish the set goals. The techniques discussed are SARSA and Q-learning. In addition, approaches to allow reinforcement learning to cope with detailed sensor information such as discretization procedures are discussed.
|Title of host publication||Machine Learning for the Quantified Self|
|Subtitle of host publication||On the Art of Learning from Sensory Data|
|Number of pages||12|
|Publication status||Published - 1 Jan 2018|
|Name||Cognitive Systems Monographs|