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Hojoon Lee
Hojoon Lee
PhD Student @ KAIST AI
Zweryfikowany adres z kaist.ac.kr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
H Lee, H Cho, H Kim, D Gwak, J Kim, J Choo, SY Yun, C Yun
Thirty-seventh Conference on Neural Information Processing Systems, 2023
302023
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
H Lee, D Hwang, H Kim, B Lee, J Choo
WWW '22: Proceedings of the ACM Web Conference 2022, 3428-3439, 2022
152022
Moi-mixer: Improving mlp-mixer with multi order interactions in sequential recommendation
H Lee, D Hwang, S Hong, C Kim, S Kim, J Choo
arXiv preprint arXiv:2108.07505, 2021
122021
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
H Lee, H Cho, H Kim, D Kim, D Min, J Choo, C Lyle
arXiv preprint arXiv:2406.02596, 2024
92024
Learning to Discover Skills through Guidance
H Kim, B Lee, H Lee, D Hwang, S Park, K Min, J Choo
NeurIPS 2023 (arXiv:2310.20178), 2023
82023
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization
J Park, Y Cho, G Sim, H Lee, J Choo
CoG'22: IEEE Conference on Games (CoG) 2022, 56-63, 2022
82022
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
H Lee, K Lee, D Hwang, H Lee, B Lee, J Choo
ICML 2023 (arXiv:2306.05637), 2023
62023
Towards validating long-term user feedbacks in interactive recommendation systems
H Lee, D Hwang, K Min, J Choo
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on …, 2022
62022
St-rap: A spatio-temporal framework for real estate appraisal
H Lee, H Jeong, B Lee, KD Lee, J Choo
Proceedings of the 32nd ACM International Conference on Information and …, 2023
42023
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
D Kim, H Lee, K Lee, D Hwang, J Choo
arXiv preprint arXiv:2406.06037, 2024
32024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
H Lee, D Hwang, D Kim, H Kim, JJ Tai, K Subramanian, PR Wurman, ...
arXiv preprint arXiv:2410.09754, 2024
22024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
H Kim, B Lee, H Lee, D Hwang, D Kim, J Choo
arXiv preprint arXiv:2406.00324, 2024
12024
Learning representations by contrasting clusters while bootstrapping instances
J Lee, H Lee, I Shin, J Bae, IS Kweon, J Choo
12020
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
D Hwang, B Lee, H Lee, H Kim, J Choo
arXiv preprint arXiv:2406.06072, 2024
2024
JORLDY: a fully customizable open source framework for reinforcement learning
K Min, H Lee, K Shin, T Lee, H Lee, J Choi, S Son
arXiv preprint arXiv:2204.04892, 2022
2022
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