Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games.
Minbo GaoZhengfeng JiTongyang LiQisheng WangPublished in: NeurIPS (2023)
Keyphrases
- learning algorithm
- worst case
- regret bounds
- online learning
- machine learning algorithms
- online algorithms
- machine learning
- confidence bounds
- quantum computation
- learning problems
- quantum inspired
- quantum computing
- learning tasks
- active learning
- lower bound
- back propagation
- learning rate
- upper bound
- binary classification
- optimal strategy
- reinforcement learning
- expert advice
- loss function
- supervised learning
- opponent modeling
- training data
- multi armed bandit problems
- deep architectures
- perfect information
- efficient learning
- linear regression