Putting the I back in AI
[2018-05-26 Sat 09:10:00] event: Visions of AI, AI Singapore speaker: Leslie Kaelbling
Ability to improvise
- understand cause and effect
Innate capacities
- people, places, and things
Learning in the factory vs Learnig in the wild
Build in some structures, learn the rest
- make infinite use of finite (learned) means
- e.g. convolution assumes locality, then we compose the local pieces
- what are other structural ideas like this?
Finding a middle ground between a pile of code and a pile of neural goo
- start with hand written control and planning
- learning about the world vs learning how to reason
How can a competent robot acquire a new ability
- pouring liquid from one container to another
- gaussian process to drive sampling during planning and learning
- 2d simulation of making coffee using pouring, stirring, pushing
Advances in planning from STRIPS
- handling discrete and continuous variables
- handling uncertainty in the robot’s model of the environment
- hierachical planning