Algorithms for the Generation of State-Level Representations of Stochastic Activity Networks with General Reward Structures.
Muhammad A. QureshiWilliam H. SandersAad P. A. van MoorselReinhard GermanPublished in: IEEE Trans. Software Eng. (1996)
Keyphrases
- learning algorithm
- special case
- orders of magnitude
- previously studied
- computational cost
- higher level
- theoretical analysis
- significant improvement
- data structure
- graph theory
- times faster
- state space
- computationally hard
- data sets
- stochastic approximation
- monte carlo
- computational complexity
- search algorithm
- reinforcement learning
- decision trees
- machine learning