19 citations · 44 across the 13 of their papers we have counts for
5 papers · 1 filter
Text2Action: Generative Adversarial Synthesis from Language to Action
Hyemin Ahn, Timothy Ha, Yunho Choi +2
In this paper, we propose a generative model which learns the relationship between language and human action in order to generate a human action sequence given a sentence describin…
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
In this paper, a sparse Markov decision process (MDP) with novel causal sparse Tsallis entropy regularization is proposed.The proposed policy regularization induces a sparse and mu…
A Nonparametric Motion Flow Model for Human Robot Cooperation
Sungjoon Choi, Kyungjae Lee, H. Andy Park +1
In this paper, we present a novel nonparametric motion flow model that effectively describes a motion trajectory of a human and its application to human robot cooperation. To this…
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling
Sungjoon Choi, Kyungjae Lee, Sungbin Lim +1
In this paper, we propose an uncertainty-aware learning from demonstration method by presenting a novel uncertainty estimation method utilizing a mixture density network appropriat…
Unsupervised Holistic Image Generation from Key Local Patches
Donghoon Lee, Sangdoo Yun, Sungjoon Choi +3
We introduce a new problem of generating an image based on a small number of key local patches without any geometric prior. In this work, key local patches are defined as informati…