Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems.
Abdulrahman NahhasAndrey KharitonovChristian HaertelKlaus TurowskiPublished in: HICSS (2024)
Keyphrases
- imitation learning
- reinforcement learning
- scheduling problem
- reinforcement learning methods
- function approximation
- reinforcement learning algorithms
- state space
- learning algorithm
- machine learning
- optimal policy
- markov decision processes
- learning problems
- dynamic programming
- np hard
- humanoid robot
- maximum margin
- multi agent
- optimal control
- learning classifier systems
- action space