Population-Based Reinforcement Learning for Combinatorial Optimization.
Nathan GrinsztajnDaniel Furelos-BlancoThomas D. BarrettPublished in: CoRR (2022)
Keyphrases
- combinatorial optimization
- reinforcement learning
- simulated annealing
- traveling salesman problem
- combinatorial optimization problems
- metaheuristic
- branch and bound
- combinatorial problems
- optimization problems
- branch and bound algorithm
- function approximation
- mathematical programming
- state space
- path relinking
- memetic algorithm
- graph theory
- optimal policy
- learning algorithm
- markov decision processes
- quadratic assignment problem
- job shop scheduling problem
- model free
- artificial bee colony
- machine learning