Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.
Jack Parker-HolderRaghu RajanXingyou SongAndré BiedenkappYingjie MiaoTheresa EimerBaohe ZhangVu NguyenRoberto CalandraAleksandra FaustFrank HutterMarius LindauerPublished in: CoRR (2022)
Keyphrases
- open problems
- reinforcement learning
- database theory
- long standing
- function approximation
- semi automated
- model free
- fully automated
- databases
- markov decision processes
- learning algorithm
- dynamic programming
- optimal policy
- computer aided
- reinforcement learning algorithms
- supervised learning
- state space
- relational databases
- machine learning
- data sets
- temporal difference
- automated analysis
- multi agent
- temporal difference learning
- computational advertising