Scheduling conditional task graphs with deep reinforcement learning.
Anton DebnerMaximilian KrahnVesa HirvisaloPublished in: NLDL (2024)
Keyphrases
- reinforcement learning
- series parallel
- scheduling problem
- scheduling algorithm
- markov decision processes
- model free
- state space
- flexible manufacturing systems
- graph theoretic
- directed graph
- function approximation
- action selection
- round robin
- graph model
- graph theory
- transfer learning
- graphical structure
- random field model
- belief nets
- graph mining
- complex structures
- spanning tree
- machine learning
- graph matching
- lower bound
- learning algorithm