A Meta Reinforcement Learning-based Approach for Self-Adaptive System.
Mingyue ZhangJialong LiHaiyan ZhaoKenji TeiShinichi HonidenZhi JinPublished in: ACSOS (2021)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- model free
- state space
- control problems
- multi agent
- data sets
- reinforcement learning algorithms
- meta level
- optimal policy
- supervised learning
- learning process
- markov decision processes
- control parameters
- artificial intelligence
- information retrieval
- real time
- temporal difference learning
- policy search
- meta reasoning