Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
A survey of robot learning from demonstration
Robotics and Autonomous Systems
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
| Hi-index | 0.00 |
Our goal is to develop methods for non-experts to teach complex behaviors to autonomous agents (such as robots) by accommodating "natural" forms of human teaching. We built a prototype interface allowing humans to teach a simulated robot a complex task using several techniques and report the results of 44 human participants using this interface. We found that teaching styles varied considerably but can be roughly categorized based on the types of interaction, patterns of testing, and general organization of the lessons given by the teacher. Our study contributes to a better understanding of human teaching patterns and makes specific recommendations for future human-robot interaction systems.