Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents

no code implementations • 12 Jan 2022 • Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang

To validate this hypothesis, we adapt this notion of critical periods to learning in AI agents and investigate the critical period in the virtual environment for AI agents.

Reinforcement Learning (RL) Transfer Learning

VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents

no code implementations • 3 May 2021 • Kwanyoung Park, Hyunseok Oh, Youngki Lee

To train and test human-like agents, we need an environment that imposes the agent to rich multimodal perception and allows comprehensive interactions for the agent, while also easily extensible to develop custom tasks.

Learning task-agnostic representation via toddler-inspired learning

no code implementations • 27 Jan 2021 • Kwanyoung Park, Junseok Park, Hyunseok Oh, Byoung-Tak Zhang, Youngki Lee

One of the inherent limitations of current AI systems, stemming from the passive learning mechanisms (e. g., supervised learning), is that they perform well on labeled datasets but cannot deduce knowledge on their own.

Image Classification Object Localization