Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies.
Nils MüllerTobias GlasmachersPublished in: PPSN (2) (2018)
Keyphrases
- evolution strategy
- high dimensional
- reinforcement learning
- evolutionary algorithm
- evolutionary programming
- differential evolution
- function approximation
- genetic algorithm
- numerical optimization
- optimization methods
- lessons learned
- high dimensionality
- reinforcement learning algorithms
- low dimensional
- real world
- dynamic programming
- multi objective
- multi agent
- temporal difference
- similarity search
- state space
- data points
- guided local search
- optimization algorithm
- dimensionality reduction
- nearest neighbor
- learning algorithm
- machine learning