Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures.
Prashank KadamRuiyang XuKarl J. LieberherrPublished in: AAMAS (2023)
Keyphrases
- neural network
- network architecture
- computational cost
- recently developed
- orders of magnitude
- databases
- biologically plausible
- learning rules
- graph theory
- benchmark datasets
- theoretical analysis
- computationally efficient
- significant improvement
- data sets
- optimization problems
- computational complexity
- classification algorithm
- computationally expensive
- times faster
- combinatorial optimization
- data structure
- decision trees
- biologically inspired
- computer vision
- learning algorithm
- hebbian learning
- neural computation