Learning State Representations with Yael Niv - TWiML Talk #92
Published:Dec 22, 2017 16:29
•1 min read
•Practical AI
Analysis
This podcast episode from Practical AI features an interview with Yael Niv, a professor at Princeton University, discussing her research on learning state representations. The conversation explores the intersection of neuroscience and machine learning, focusing on how humans learn and how understanding state representations can improve machine learning techniques like reinforcement and transfer learning. The episode highlights the importance of this research area and its potential to provide insights into complex AI problems. The interviewer expresses enthusiasm for the discussion, suggesting it will be of interest to listeners.
Key Takeaways
- •The episode focuses on the relationship between neuroscience and machine learning.
- •It discusses the importance of state representations in human learning.
- •The interview explores how understanding state representations can improve machine learning techniques.
Reference
“In this interview Yael and I explore the relationship between neuroscience and machine learning.”