RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach.
Yingzhuo LiuPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- state space
- learning algorithm
- scheduling problem
- model free
- rl algorithms
- temporal difference
- high speed
- optimal policy
- markov decision processes
- multi agent
- action selection
- dynamic programming
- control problems
- continuous state
- resource allocation
- control policy
- reinforcement learning methods
- function approximators
- action space
- state and action spaces
- approximate dynamic programming
- policy search
- machine learning
- optimal control
- scheduling algorithm
- learning problems
- line segments
- supervised learning
- learning process
- single agent
- markov decision process
- learning classifier systems
- transfer learning
- genetic algorithm