11 citations · 12 across the 3 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…
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Zhaoyuan Gu, Yipu Chen, Zimeng Chai +11
Humanoid loco-manipulation requires coordinated task-space motion planning with stable loco-manipulation command tracking under complex robot-environment dynamics and long-horizon…
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…
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
Hyunseo Kim, Hye Jung Yoon, Minji Kim +2
Current robotic hand manipulation narrowly operates with objects in predictable positions in limited environments. Thus, when the location of the target object deviates severely fr…
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…