Neuroevolution for deep reinforcement learning problems.
David HaPublished in: GECCO Companion (2020)
Keyphrases
- reinforcement learning problems
- function approximators
- reinforcement learning algorithms
- function approximation
- reinforcement learning
- temporal difference
- reinforcement learning methods
- neural network
- artificial neural networks
- markov decision processes
- markov decision problems
- model free
- state space
- learning algorithm
- policy iteration
- weight vector
- learning tasks
- action space
- monte carlo
- machine learning