122 citations
4 papers
GPT-3-driven pedagogical agents for training children's curious question-asking skills
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan +4
In order to train children's ability to ask curiosity-driven questions, previous research has explored designing specific exercises relying on providing semantic and linguistic cue…
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud +1
Reinforcement learning (RL) in long horizon and sparse reward tasks is notoriously difficult and requires a lot of training steps. A standard solution to speed up the process is to…
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté +2
To solve difficult tasks, humans ask questions to acquire knowledge from external sources. In contrast, classical reinforcement learning agents lack such an ability and often resor…
Conversational agents for fostering curiosity-driven learning in children
Rania Abdelghani, Pierre-Yves Oudeyer, Edith Law +2
Curiosity is an important factor that favors independent and individualized learning in children. Research suggests that it is also a competence that can be fostered by training sp…