Regulating the imbalance for the container relocation problem: A deep reinforcement learning approach.
Yin TangZengjian YeYongjian ChenJie LuShuqiang HuangJian ZhangPublished in: Comput. Ind. Eng. (2024)
Keyphrases
- reinforcement learning
- function approximation
- state space
- robotic control
- reinforcement learning algorithms
- temporal difference
- class imbalance
- learning algorithm
- supervised learning
- action selection
- machine learning
- case study
- class distribution
- policy search
- transition model
- markov decision process
- optimal policy
- multi agent
- model free
- real time
- markov decision processes
- partially observable
- learning environment
- deep learning
- temporal difference learning
- stochastic approximation
- real world
- neural network