Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study.
Miller TrujilloMario Linares-VásquezCamilo Escobar-VelásquezIvana DusparicNicolás CardozoPublished in: ICSE (Workshops) (2020)
Keyphrases
- reinforcement learning
- function approximation
- state space
- neural network
- model free
- machine learning
- robotic control
- learning algorithm
- markov decision processes
- reinforcement learning algorithms
- optimal policy
- temporal difference learning
- deep learning
- supervised learning
- transfer learning
- temporal difference
- real time
- dynamic programming
- learning agents
- function approximators
- learning capabilities
- genetic algorithm
- optimal control
- learning problems