Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
Maximilian SchenkeOliver WallscheidPublished in: CoRR (2021)
Keyphrases
- state space
- kernel density estimation
- reinforcement learning
- reinforcement learning algorithms
- markov decision processes
- optimal policy
- probability density function
- density estimation
- mean shift
- object segmentation
- learning algorithm
- supervised learning
- density function
- reward function
- particle filter
- dynamic programming
- search space
- probability distribution
- object recognition
- computer vision
- machine learning