Deep Reinforcement Learning Approach for Maintenance Planning in a Flow-Shop Scheduling Problem.
Maria Grazia MarchesanoLuigi StaianoGuido GuizziDavide CastellanoValentina PopoloPublished in: SoMeT (2022)
Keyphrases
- reinforcement learning
- action selection
- planning problems
- heuristic search
- macro actions
- partially observable
- state space
- machine learning
- learning algorithm
- function approximation
- reinforcement learning problems
- stochastic domains
- partially observable markov decision processes
- reinforcement learning algorithms
- temporal difference
- model free
- complex domains
- optimal control
- deterministic domains
- learning problems
- dynamic programming
- robotic control
- neural network
- partially observable domains
- markov decision problems
- blocks world
- temporal difference learning
- planning systems
- ai planning
- motion planning