Reinforcement Learning for Node Selection in Branch-and-Bound.
Alexander MattickChristopher MutschlerPublished in: CoRR (2023)
Keyphrases
- branch and bound
- reinforcement learning
- node selection
- search algorithm
- branch and bound algorithm
- lower bound
- wireless sensor networks
- active learning
- search space
- column generation
- optimal solution
- branch and bound procedure
- combinatorial optimization
- upper bound
- selection algorithm
- randomly generated problems
- temporal difference
- network design problem
- energy consumption
- branch and bound method
- tree search algorithm
- energy efficiency
- lagrangian heuristic
- state space
- tree search
- learning algorithm
- markov decision processes
- optimal policy
- learning process
- multi agent
- machine learning
- keyword search
- dynamic programming
- objective function
- decision trees