we are using three four-armed bandit. What this means is that each bandit has four arms that can be pulled. Each bandit has different success probabilities for each arm, and as such requires different actions to obtain the best
根据式子1和式子2,来更新A_a和b_a,写回Redis。 4. 参考 论文:A Contextual-Bandit Approach toPersonalized News Article Recommendation 论文:Exploring compact reinforcement-learning representations with linear regression LinUCB算法理解 Contextual Bandit算法在推荐系统中的实现及应用 UCB算法升职记——LinUCB算法 推...
Motivation 1.网络服务是由动态变化的内容池所表征的,传统的协同过滤不可行。 2.网络服务需要快速学习和快速计算。 Contributions 1、提出新方法高效计算,能很好学习新场景。 2、论证了任何bandit算法都可以使用先前记录的随机流量进行可靠地离线评估。 3、在Yahoo!数据集测试,比context-free bandit算法好。 Introduction...