Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack.
Ziwei GuanKaiyi JiDonald J. Bucci Jr.Timothy Y. HuJoseph PalomboMichael ListonYingbin LiangPublished in: AAAI (2020)
Keyphrases
- computationally efficient
- parameter tuning
- data structure
- computational complexity
- stochastic approximation
- data sets
- monte carlo
- upper confidence bound
- image segmentation
- worst case
- theoretical analysis
- contextual bandit
- highly efficient
- combinatorial optimization
- times faster
- graphical models
- multi agent
- neural network