Zobrazeno 1 - 10
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pro vyhledávání: '"Kim, YunHo"'
We propose a novel offline reinforcement learning (offline RL) approach, introducing the Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation (DIAR) framework. We address two key challenges in offline RL: out-of-distribution samples a
Externí odkaz:
http://arxiv.org/abs/2410.11338
Effective long-term strategies enable AI systems to navigate complex environments by making sequential decisions over extended horizons. Similarly, reinforcement learning (RL) agents optimize decisions across sequences to maximize rewards, even witho
Externí odkaz:
http://arxiv.org/abs/2410.11324
Autor:
Yu, Seonghoon, Jung, Ilchae, Han, Byeongju, Kim, Taeoh, Kim, Yunho, Wee, Dongyoon, Son, Jeany
Referring image segmentation (RIS) requires dense vision-language interactions between visual pixels and textual words to segment objects based on a given description. However, commonly adapted dual-encoders in RIS, e.g., Swin transformer and BERT (u
Externí odkaz:
http://arxiv.org/abs/2408.15521
Autor:
Kim, Yunho, Lee, Jeong Hyun, Lee, Choongin, Mun, Juhyeok, Youm, Donghoon, Park, Jeongsoo, Hwangbo, Jemin
For reliable autonomous robot navigation in urban settings, the robot must have the ability to identify semantically traversable terrains in the image based on the semantic understanding of the scene. This reasoning ability is based on semantic trave
Externí odkaz:
http://arxiv.org/abs/2406.02989
Appropriate weight initialization settings, along with the ReLU activation function, have become cornerstones of modern deep learning, enabling the training and deployment of highly effective and efficient neural network models across diverse areas o
Externí odkaz:
http://arxiv.org/abs/2311.03733
Autor:
Kim, Yunho, Oh, Hyunsik, Lee, Jeonghyun, Choi, Jinhyeok, Ji, Gwanghyeon, Jung, Moonkyu, Youm, Donghoon, Hwangbo, Jemin
Several earlier studies have shown impressive control performance in complex robotic systems by designing the controller using a neural network and training it with model-free reinforcement learning. However, these outstanding controllers with natura
Externí odkaz:
http://arxiv.org/abs/2308.12517
Autor:
Kim, Kihong, Kim, Yunho, Cho, Seokju, Seo, Junyoung, Nam, Jisu, Lee, Kychul, Kim, Seungryong, Lee, KwangHee
In this paper, we propose a diffusion-based face swapping framework for the first time, called DiffFace, composed of training ID conditional DDPM, sampling with facial guidance, and a target-preserving blending. In specific, in the training process,
Externí odkaz:
http://arxiv.org/abs/2212.13344
Roma Plastilina No. 1 clay has been widely used as a conservative boundary condition in bulletproof vests, namely to play the role of a human body. Interestingly, the effect of this boundary condition on the ballistic performance of the vests is indi
Externí odkaz:
http://arxiv.org/abs/2205.14893
For autonomous quadruped robot navigation in various complex environments, a typical SOTA system is composed of four main modules -- mapper, global planner, local planner, and command-tracking controller -- in a hierarchical manner. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2204.08647
Autor:
Seo, Jae Hyeon, Choi, Jae Young, Seok, Jin Hyeok, Cha, Ji-Hun, Kim, June Young, Kim, You Gwang, Lee, Hae June, Kim, Chun-Gon, Chung, Kyoung-Jae, Kim, YunHo
Publikováno v:
In Acta Astronautica October 2024 223:585-593
