Neural Combinatorial Optimization with Reinforcement Learning.
Irwan BelloHieu PhamQuoc V. LeMohammad NorouziSamy BengioPublished in: ICLR (Workshop) (2017)
Keyphrases
- combinatorial optimization
- reinforcement learning
- fitted q iteration
- combinatorial optimization problems
- traveling salesman problem
- network architecture
- simulated annealing
- metaheuristic
- branch and bound
- optimization problems
- hard combinatorial optimization problems
- branch and bound algorithm
- neural network
- mathematical programming
- model free
- combinatorial problems
- function approximation
- state space
- sensory inputs
- markov decision processes
- learning algorithm
- memetic algorithm
- quadratic assignment problem
- optimal policy
- combinatorial search
- exact algorithms
- learning problems
- graph theory
- machine learning
- multi agent
- max flow min cut
- path relinking
- dynamic programming
- ant colony optimization
- genetic algorithm
- search algorithm