Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts.
Robbert ReijnenYingqian ZhangWim NuijtenÇaglar SenarasMariana Goldak-AltgassenPublished in: SSCI (2020)
Keyphrases
- dynamic environments
- search heuristics
- path finding
- reinforcement learning
- path planning
- multi agent
- search algorithm
- constraint programming
- evolutionary algorithm
- search strategy
- tabu search
- learning algorithm
- beam search
- branch and bound search
- search strategies
- heuristic search
- hill climbing
- state space
- knapsack problem
- genetic algorithm
- search space
- optimal policy
- search procedures
- branch and bound
- search methods
- tree search
- decision trees
- learning problems
- optimization problems
- integer programming
- concept learning
- simulated annealing
- multi objective
- machine learning
- robocup rescue