Machine learning for interactive systems and robots: a brief introduction
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
| Hi-index | 0.00 |
We discuss a change of perspective for training dialogue systems, which requires a shift from traditional empirical methods to online learning methods. We motivate the application of online learning, which provides the benefit of improving the system's behaviour continuously often after each turn or dialogue rather than after hundreds of dialogues. We describe the requirements and advances for dialogue systems with online learning, and speculate on the future of these kinds of systems.