RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling.
Jinsung YoonSercan Ömer ArikTomas PfisterPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- model free
- state space
- optimal policy
- machine learning
- temporal difference
- partially observable domains
- multi agent
- control problems
- reinforcement learning algorithms
- learning classifier systems
- action selection
- supervised learning
- learning process
- learning problems
- learning tasks
- dynamic programming
- partially observable
- action space
- reinforcement learning methods
- autonomous learning
- approximate dynamic programming
- learning algorithm