Reinforcement Learning for Solving Stochastic Vehicle Routing Problem.
Zangir IklassovIkboljon SobirovRuben SolozabalMartin TakácPublished in: ACML (2023)
Keyphrases
- vehicle routing problem
- reinforcement learning
- combinatorial optimization
- vehicle routing problem with simultaneous
- metaheuristic
- routing problem
- traveling salesman problem
- tabu search
- benchmark problems
- travel time
- vehicle routing
- stochastic approximation
- test instances
- vehicle routing problem with time windows
- multi depot
- hybrid metaheuristic
- pick up and delivery
- memetic algorithm
- benchmark instances
- particle swarm optimization
- state space
- logistics distribution
- information retrieval
- learning algorithm
- optimal solution
- monte carlo
- variable neighborhood search
- iterated local search
- neural network
- greedy randomized adaptive search procedure
- markov decision processes