Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
Jingwen LiYining MaRuize GaoZhiguang CaoAndrew LimWen SongJie ZhangPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- state space
- machine learning
- ant colony optimization
- data sets
- markov decision problems
- reinforcement learning algorithms
- metaheuristic
- reinforcement learning agents
- learning agent
- heterogeneous data
- memetic algorithm
- function approximation
- combinatorial optimization
- linear program
- supervised learning
- learning process
- multi agent
- real world