Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming.
Manuel EberhardingerFlorian RuppJohannes MaucherSetareh MaghsudiPublished in: ICSI (1) (2024)
Keyphrases
- genetic programming
- reinforcement learning
- fitness function
- function approximation
- symbolic regression
- evolutionary computation
- model free
- evolutionary algorithm
- classification rules
- state space
- gene expression programming
- optimal policy
- reinforcement learning algorithms
- genetic algorithm
- learning algorithm
- evolutionary approaches
- regression problems
- data sets
- action selection
- optimal control
- markov decision processes
- dynamic programming
- learning classifier systems
- supervised learning
- learning capabilities
- function approximators
- multi agent
- multi agent reinforcement learning
- case study
- real time
- robotic control