The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning.
J. J. McDowellZahra AnsariPublished in: ECAL (2005)
Keyphrases
- evolutionary algorithm
- reinforcement learning
- evolutionary computation
- function optimization
- multi objective
- optimization problems
- evolutionary process
- quantitative and qualitative
- learning algorithm
- model free
- state space
- computationally efficient
- transfer learning
- markov decision processes
- particle swarm optimization
- differential evolution
- dynamic programming
- learning process
- genetic algorithm