Multi-Agent Multi-Objective Ergodic Search Using Branch and Bound.
Akshaya Kesarimangalam SrinivasanGeordan GutowZhongqiang RenIan AbrahamBhaskar VundurthyHowie ChosetPublished in: IROS (2023)
Keyphrases
- iterative deepening
- branch and bound
- tree search
- depth first search
- multi objective
- search algorithm
- branch and bound search
- multi agent
- search problems
- search tree
- search space
- branch and bound algorithm
- lower bound
- tree search algorithm
- optimal solution
- game tree search
- column generation
- combinatorial optimization
- search strategies
- upper bound
- branch and bound procedure
- beam search
- network design problem
- randomly generated problems
- objective function
- max sat
- evaluation function
- evolutionary algorithm
- multiple objectives
- heuristic search algorithms
- branch and bound method
- reinforcement learning
- game tree
- optimization algorithm
- multi agent systems
- partial solutions
- reduce the search space
- search methods
- heuristic search
- np hard
- bnb adopt