Hyperparameter Tuning for Deep Reinforcement Learning Applications.
Mariam KiranBuse Melis OzyildirimPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- model selection
- multi agent
- model free
- gaussian processes
- parameter tuning
- machine learning
- learning algorithm
- reinforcement learning algorithms
- state space
- markov decision processes
- fine tuning
- optimal policy
- robotic control
- optimal control
- dynamic programming
- learning process
- hyperparameters
- gaussian process
- feature selection
- data sets
- deep learning
- database