开课单位--麦吉尔大学
12>>> 1/2

1
21. Reinforcement Learning by Example[21. 实例强化学习]
  Imad Khoury;Robert West;Cosmin Paduraru(麦吉尔大学) A brief introduction to reinforcement learning, using the task of bartending as an example.
热度：26

2
Advanced Topics in RL[RL中的高级主题]
   Joelle Pineau(麦吉尔大学) Advanced Topics in RL
热度：30

3
The Surprising Performance of Simple Baselines for Misinformation Detection[用于错误信息检测的简单基线的惊人性能]
  Kellin Perline(麦吉尔大学) The Surprising Performance of Simple Baselines for Misinformation Detection
热度：37

4
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing[部分历史共享分散随机控制系统的强化学习]
  Jalal Arabneydi(麦吉尔大学) In this paper, we are interested in systems with multiple agents that wish to cooperate in order to accomplish a common task while a) agents have diff...
热度：59

5
Temporal Abstraction[时间抽象]
  Doina Precup(麦吉尔大学) Temporal Abstraction
热度：66

6
Machine Learning[机器学习]
  Doina Precup(麦吉尔大学) We provide a general introduction to machine learning, aimed to put all participants on the same page in terms of definitions and basic background. Af...
热度：27

7
Sinusoidal Functions[正弦函数]
  David Shirokoff(麦吉尔大学) author: David Shirokoff, McGill University recorded by: Massachusetts Institute of Technology, MIT published: March 5, 2013, recorded: September 201...
热度：89

8
Activity Recognition With Mobile Phones[使用手机进行活动识别]
  Jordan Frank(麦吉尔大学) Our demonstration consists of a working activity and gait recognition system, implemented on a commercial smartphone. The activity recognition feature...
热度：71

9
Machine Learning[机器学习]
  Doina Precup(麦吉尔大学) We provide a general introduction to machine learning, aimed to put all participants on the same page in terms of definitions and basic background. Af...
热度：59

10
Laplace: Solving ODE's[拉普拉斯：求解常微分方程]
  David Shirokoff(麦吉尔大学)
热度：19
12>>> 1/2