Reinforcement Learning for Node Selection in Branch-and-Bound.

Alexander Mattick Christopher Mutschler

Published 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