Jiwei Li, Alexander H Miller, Sumit Chopra, Marc’Aurelio Ranzato, and Jason Weston. 2016a. Dialogue learning with human-in-the-loop. arXiv preprint arXiv:1611.09823 . Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016b. A user simulator for ...
Li J, Miller AH, Chopra S, Ranzato M, Weston J (2017a) Dialogue learning with human-in-the-loop. In: 5th international conference on learning representations, ICLR 2017, Toulon, France, April 24-26, 2017, conference track proceedings, OpenReview.net, https://openreview.net/forum?id=HJgXCV...
Dialogue Learning With Human-In-The-Loop An important aspect of developing conversational agents is to give a bot the ability to improve through communicating with humans and to learn from the mis... J Li,AH Miller,S Chopra,... 被引量: 37发表: 2016年 ReaderBench: Automated evaluation of ...
(2019). Personalizing dialogue agents via meta-learning. In ACL. This model is assessed on the Persona-Chat dataset (Zhang et al., 2018) in automatic measures and human-evaluated fluency and consistency. Quantitative evaluation metrics include perplexity (PPL), the Bilingual Evaluation Understudy ...
- Scalable, fast and cost-effective implementation: strategies enabling effective operation in resource-constrained or large-scale scenarios - Human-in-the-Loop strategies: integration of human expertise to enhance system learning and performance
Many robotic projects use simulation as a faster and easier way to develop, evaluate and validate software components compared with on-board real world settings. In the human-robot interaction field, some recent works have attempted to integrate humans in the simulation loop. In this paper we ...
Training a task-completion dialogue agent via reinforcement learning (RL) is costly because it requires many interactions with real users. One common alternative is to use a user simulator. However, a user simulator usually lacks the language complexity of human interlocutors and the...
The researchers evaluated their proposed closed loop skill learning system in a series of real-world tests, applying it to a Franka FR3 robotic manipulator. This robot interacted with eight human users and gradually learned to tackle a simple everyday task, namely making a sandwich. ...
Few-shot learning (FSL) is one of the key future steps in machine learning and raises a lot of attention. In this paper, we focus on the FSL problem of dia
in a certain way, she is a normal human, right? Durandal: Yes. From an objective point of view, perhaps this proves that Project STIGMA is greatly different from what we know it to be. Durandal:…After all, it’ll be a tall tale if the World Serpent were to create a new secret...