Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization.
Georg KruseRodrigo CoehloAndreas RosskopfRobert WilleJeanette Miriam LorenzPublished in: CoRR (2024)
Keyphrases
- combinatorial optimization
- reinforcement learning
- fitted q iteration
- combinatorial optimization problems
- traveling salesman problem
- network architecture
- branch and bound
- metaheuristic
- combinatorial problems
- simulated annealing
- mathematical programming
- function approximation
- optimization problems
- branch and bound algorithm
- state space
- quantum computing
- neural network
- memetic algorithm
- quadratic assignment problem
- machine learning
- markov decision processes
- action selection
- vehicle routing problem
- learning algorithm
- tabu search
- model free
- hard combinatorial optimization problems
- graph theory
- single machine scheduling problem
- optimal policy
- spiking neurons
- dynamic programming