Evolving interpretable decision trees for reinforcement learning.
Vinícius G. CostaJorge Pérez-AracilSancho Salcedo-SanzCarlos Eduardo PedreiraPublished in: Artif. Intell. (2024)
Keyphrases
- decision trees
- reinforcement learning
- classification rules
- machine learning
- function approximation
- decision tree induction
- random forest
- logistic regression
- training data
- reinforcement learning algorithms
- predictive accuracy
- state space
- naive bayes
- learning algorithm
- temporal difference learning
- decision rules
- optimal policy
- stochastic approximation
- transfer learning
- machine learning algorithms
- constructive induction
- decision tree learning
- temporal difference
- markov decision processes
- feature construction
- function approximators
- attribute selection
- dynamic programming
- boosted decision trees
- training set
- rule sets
- data sets