Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees.
Nathan DahlinKrishna Chaitanya KalagarlaNikhil NaikRahul JainPierluigi NuzzoPublished in: CoRR (2020)
Keyphrases
- decision trees
- reinforcement learning
- classification rules
- machine learning
- state space
- machine learning algorithms
- function approximation
- predictive accuracy
- learning algorithm
- robotic control
- neural network
- decision tree algorithm
- decision tree induction
- model free
- data mining methods
- markov decision processes
- logistic regression
- learning problems
- deep learning
- attribute selection
- learning process
- policy search
- rule sets
- learning tasks
- ensemble methods
- random forest
- dynamic programming
- constructive induction
- policy evaluation
- training data