Reinforcement Learning with Decision Trees

By Larry D. Pyeatt. 2003

23 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Aaron M. Roth
2. Nicholay Topin
3. Pooyan Jamshidi
4. Manuela M. Veloso
5. Peter Stone
6. Lucian Busoniu
7. Matthew E. Taylor
8. Michael H. Bowling

Citations in the corpus

• Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy (2019, methodology): “The best decision-tree-via-RL approach of which we are aware is the Pyeatt Method [Pyeatt, 2003] (PM), which we implement and use as a comparison.”