29 citations · 56 across the 5 of their papers we have counts for
5 papers
ProgVLA: Progress-Aware Robot Manipulation Skill Learning
Seungsu Kim, Jinyoung Choi, Seungmin Baek +1
We present ProgVLA, a compact vision-language-action (VLA) model designed for reliable robot manipulation under tight compute and memory budgets. The model specifically focuses on…
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
Jinyoung Choi, Christopher R. Dance, Jung-eun Kim +2
Modern navigation algorithms based on deep reinforcement learning (RL) show promising efficiency and robustness. However, most deep RL algorithms operate in a risk-neutral manner,…
Multi-focus Attention Network for Efficient Deep Reinforcement Learning
Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
Deep reinforcement learning (DRL) has shown incredible performance in learning various tasks to the human level. However, unlike human perception, current DRL models connect the en…
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals
Sungtae Lee, Sang-Woo Lee, Jinyoung Choi +2
Recently, reinforcement learning has been successfully applied to the logical game of Go, various Atari games, and even a 3D game, Labyrinth, though it continues to have problems i…
Human Body Orientation Estimation using Convolutional Neural Network
Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
Personal robots are expected to interact with the user by recognizing the user's face. However, in most of the service robot applications, the user needs to move himself/herself to…