Solving Continual Combinatorial Selection via Deep Reinforcement Learning.
HyungSeok SongHyeryung JangHai H. TranSe-eun YoonKyunghwan SonDonggyu YunHyoju ChungYung YiPublished in: IJCAI (2019)
Keyphrases
- reinforcement learning
- selection criteria
- real world
- combinatorial optimization
- learning algorithm
- markov decision problems
- state space
- markov decision processes
- reinforcement learning agents
- neural network
- action selection
- optimal control
- selection algorithm
- function approximation
- optimal policy
- dynamic programming
- learning process
- multi agent
- machine learning
- data mining