11 citations · 19 across the 4 of their papers we have counts for
5 papers
Reward Inflation: A Healthy Stimulus for Reinforcement Learning
Ganghun Lee, Minji Kim, Minsu Lee +1
Reward serves as the primary learning signal in reinforcement learning (RL). However, while reward magnitudes are typically held fixed throughout training, their temporal modulatio…
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation
Ganghun Lee, Minji Kim, Yunsu Lee +2
Collage is a creative art form that uses diverse material scraps as a base unit to compose a single image. Although pixel-wise generation techniques can reproduce a target image in…
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent
Ganghun Lee, Minji Kim, Minsu Lee +1
We present an automated learning framework for a robotic sketching agent that is capable of learning stroke-based rendering and motor control simultaneously. We formulate the robot…
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents
Junseok Park, Kwanyoung Park, Hyunseok Oh +4
Critical periods are phases during which a toddler's brain develops in spurts. To promote children's cognitive development, proper guidance is critical in this stage. However, it i…
CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
Minjung Shin, Seongho Choi, Yu-Jung Heo +3
We introduce CogME, a cognition-inspired, multi-dimensional evaluation metric designed for AI models focusing on story understanding. CogME is a framework grounded in human thinkin…