Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.
Jack Parker-HolderRaghu RajanXingyou SongAndré BiedenkappYingjie MiaoTheresa EimerBaohe ZhangVu NguyenRoberto CalandraAleksandra FaustFrank HutterMarius LindauerPublished in: J. Artif. Intell. Res. (2022)
Keyphrases
- open problems
- reinforcement learning
- database theory
- long standing
- function approximation
- semi automated
- multidatabase transaction management
- state space
- machine learning
- dynamic programming
- fully automated
- model free
- multi agent
- temporal difference
- optimal policy
- computational advertising
- automated analysis
- markov decision processes
- fine grained
- learning process
- databases
- function approximators
- data sets
- temporal difference learning
- database