Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network

1 code implementation • 12 Nov 2020 • Juhyeon Kim, Kihyun Kim

We propose a novel approach to optimize fleet management by combining multi-agent reinforcement learning with graph neural network.

Management Multi-agent Reinforcement Learning +2

Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music

no code implementations • 11 Nov 2019 • Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh

The trained dance pose generator, which is a generative autoregressive model, is able to synthesize a dance sequence longer than 5, 000 pose frames.

Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data

no code implementations • 28 Nov 2017 • Geonmo Gu, Seong Tae Kim, Kihyun Kim, Wissam J. Baddar, Yong Man Ro

through a generative model is helpful in addressing the lack of training data.

Face Generation