Machine Teaching for Human Inverse Reinforcement Learning
As robots continue to acquire useful skills, their ability to teach their expertise will provide humans the two-fold benefit of learning from robots and collaborating fluently with them. For example, robot tutors could teach handwriting to individual students and delivery robots could convey their n...
Main Authors: | Michael S. Lee, Henny Admoni, Reid Simmons |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
|
Series: | Frontiers in Robotics and AI |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2021.693050/full |
Similar Items
-
Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations
by: Francisco Martinez-Gil, et al.
Published: (2020-09-01) -
Reinforcement Learning from Demonstration
by: Suay, Halit Bener
Published: (2016) -
Reinforced Abstractive Text Summarization With Semantic Added Reward
by: Heewon Jang, et al.
Published: (2021-01-01) -
Dynamic movement primitives andreinforcement learning for adapting alearned skill
by: Lundell, Jens
Published: (2016) -
Visual Navigation Using Inverse Reinforcement Learning and an Extreme Learning Machine
by: Qiang Fang, et al.
Published: (2021-08-01)