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Showing results 1 to 9 of 9

1
Deep Reinforcement Learning on Multi-goal Sparse Reward Environment: A Brief Survey

Luu, Tung M.; 유창동, 2019 한국인공지능학회 추계학술대회, 한국인공지능학회, 2019-11-15

2
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning

Nguyen, Thanh; Pham, Trung Xuan; Zhang, Chaoning; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.11, pp.21534 - 21545, 2023

3
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment

Luu, Tung M.; Yoo, Chang-Dong, IEEE ACCESS, v.9, pp.51996 - 52007, 2021-04

4
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model

Nguyen, Thanh; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, pp.3471 - 3477, IEEE, 2021-09-27

5
SoftGroup for 3D Instance Segmentation on Point Clouds

Vu, Thang; Kim, Kookhoi; Luu, Tung M.; Nguyen, Thanh; Yoo, Chang-Dong, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022-06

6
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection

Vu, Thang; Kim, Kookhoi; Kang, Haeyong; Nguyen, Xuan Thanh; Luu, Tung M.; Yoo, Chang-Dong, IEEE International Conference on Image Processing (ICIP), pp.3173 - 3177, IEEE, 2021-09-19

7
The Impact of Content and Adversarial Losses on Super-Resolution

Luu, Tung M.; Yoo, Chang-Dong, The 34th International Technical Conference on Circuits/Systems, Computers and Communications, The Institute of Electronics and Information Engineers (IEIE), Korea, 2019-06-24

8
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning

Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022

9
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning

Luu, Tung M.; Vu, Thang; Nguyen, Thanh; Yoo, Chang D., SENSORS, v.22, no.17, 2022-09

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