Automating DBSCAN via Deep Reinforcement Learning.
Ruitong ZhangHao PengYingtong DouJia WuQingyun SunJingyi ZhangPhilip S. YuPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- density based clustering
- clustering algorithm
- optimal policy
- state space
- clustering method
- spatial clustering
- data clustering
- density based clustering algorithm
- reinforcement learning algorithms
- model free
- markov decision processes
- k means
- multi agent
- temporal difference learning
- machine learning
- data sets
- learning process
- action selection
- temporal difference
- policy search
- partially observable
- e learning
- relational reinforcement learning
- real world
- markov decision process
- dynamic programming
- reward function
- learning problems