图 书 馆开课单位--麦吉尔大学
11
12
13
14
15
16
17
18
19
20
1112Probabilistic Decision-Making Under Model Uncertainty[不确定性条件下模型的概率决策]
Joelle Pineau(麦吉尔大学) Partially Observable Markov Decision Processes offer a rich mathematical framework for decision-making under uncertainty. In recent years, a number of...
热度：38
Joelle Pineau(麦吉尔大学) Partially Observable Markov Decision Processes offer a rich mathematical framework for decision-making under uncertainty. In recent years, a number of...
热度：38
13Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia[时间主题揭示维基百科编辑互动的动态]
David Jurgens(麦吉尔大学) Wikipedia is a collaborative setting with both combative and cooperative editing. We propose a new method for investigating the types of editor intera...
热度：67
David Jurgens(麦吉尔大学) Wikipedia is a collaborative setting with both combative and cooperative editing. We propose a new method for investigating the types of editor intera...
热度：67
14Reinforcement Learning in the Presence of Rare Events[在罕见事件的存在下强化学习]
Jordan Frank(麦吉尔大学) We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the c...
热度：43
Jordan Frank(麦吉尔大学) We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the c...
热度：43
15Management Education Responses to Global Crisis: Challenges and Opportunities[管理教育应对全球危机：挑战与机遇]
Nancy Adler(麦吉尔大学)
热度：33
Nancy Adler(麦吉尔大学)
热度：33
1617Active Learning in Network Monitoring[网络监控中的主动学习]
Mark Coates(麦吉尔大学) In several latency in obtaining information about the state of the network. The adoption of active learning techniques can result in a dramatic reduct...
热度：38
Mark Coates(麦吉尔大学) In several latency in obtaining information about the state of the network. The adoption of active learning techniques can result in a dramatic reduct...
热度：38
18Piecewise-Stationary Bandit Problems with Side Observations[具有侧面观测的分段 - 平稳强盗问题]
Jia Yuan Yu(麦吉尔大学) We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distri...
热度：31
Jia Yuan Yu(麦吉尔大学) We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distri...
热度：31
19Piecewise-Stationary Bandit Problems with Side Information[边信息的分段 - 平稳强盗问题]
Jia Yuan Yu(麦吉尔大学) We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distri...
热度：28
Jia Yuan Yu(麦吉尔大学) We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distri...
热度：28
20Welcome to the Multidisciplinary Symposium on Reinforcement Learning[欢迎参加关于加强学习的多学科研讨会]
Doina Precup(麦吉尔大学) In the last 25 years, reinforcement learning research has made great strides and has had a significant impact within several fields, including * ...
热度：28
Doina Precup(麦吉尔大学) In the last 25 years, reinforcement learning research has made great strides and has had a significant impact within several fields, including * ...
热度：28