Hierarchical Reinforcement Learning Introducing Genetic Algorithm for POMDPs Environments.
Kohei SuzukiShohei KatoPublished in: ICAART (2) (2019)
Keyphrases
- hierarchical reinforcement learning
- genetic algorithm
- reinforcement learning
- average reward
- artificial neural networks
- state abstraction
- function approximation
- markov decision processes
- state space
- fitness function
- model free
- markov decision process
- dynamic programming
- evolutionary algorithm
- metaheuristic
- genetic algorithm ga
- belief state
- reinforcement learning algorithms
- dynamic environments
- optimal policy
- least squares
- learning classifier systems
- partially observable
- machine learning