Dynamic Knowledge Capitalization in Big Data Context: Monte Carlo Tree Search Based Reinforcement Learning.
Badr HirchouaBrahim OuhbiBouchra FrikhPublished in: AICV (2021)
Keyphrases
- big data
- reinforcement learning
- vast amounts of data
- monte carlo tree search
- knowledge base
- knowledge discovery
- data processing
- cloud computing
- monte carlo
- data analysis
- big data analytics
- reinforcement learning methods
- temporal difference learning
- data management
- information technology
- optimal policy
- function approximation
- model free
- temporal difference
- data science
- bayesian reinforcement learning
- machine learning
- markov decision processes
- decision problems
- reinforcement learning algorithms
- state space
- dynamic programming