Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories.
Christopher W. F. ParsonsonAlexandre LaterreThomas D. BarrettPublished in: CoRR (2022)
Keyphrases
- branch and bound
- reinforcement learning
- lower bound
- branch and bound algorithm
- search algorithm
- search space
- column generation
- combinatorial optimization
- upper bound
- optimal solution
- tree search
- state space
- branch and bound procedure
- randomly generated problems
- function approximation
- tree search algorithm
- beam search
- reinforcement learning algorithms
- branch and bound method
- integer programming problems
- moving objects
- model free
- search strategies
- markov decision processes
- branch and bound search
- max sat
- genetic algorithm
- learning algorithm
- lagrangian heuristic
- optimal policy
- temporal difference
- search strategy
- dynamical systems
- cost function
- objective function
- bnb adopt
- bayesian networks