Iterative T eacher-A ware Learning
–Neural Information Processing Systems
However, there is still a distance away from robots being able to directly teach or learn from humans as efficiently and effectively as humans do. One of the many difficulties is that machine learning and teaching are now usually studied in single-agent frameworks.
Neural Information Processing Systems
Nov-16-2025, 02:56:35 GMT
- Country:
- Asia > China
- North America > United States
- California > Los Angeles County
- Los Angeles (0.14)
- Illinois > Cook County
- Chicago (0.04)
- Wisconsin > Dane County
- Madison (0.04)
- California > Los Angeles County
- Genre:
- Research Report
- Experimental Study (0.68)
- New Finding (0.67)
- Research Report
- Industry:
- Education > Educational Setting (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Learning Graphical Models
- Directed Networks > Bayesian Learning (0.46)
- Undirected Networks > Markov Models (0.46)
- Reinforcement Learning (0.69)
- Statistical Learning (1.00)
- Learning Graphical Models
- Representation & Reasoning
- Agents (0.93)
- Uncertainty > Bayesian Inference (0.68)
- Robots (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence