JOURNAL ARTICLE
Distributional Reinforcement Learning with Regularized Wasserstein Loss
Bei JiangLinglong KongWulong LiuKe SunYingnan Zhao
Year: 2024 Pages: 63184-63221
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Related Documents
JOURNAL ARTICLE
Regularized Wasserstein Means for Aligning Distributional Data
Journal: Proceedings of the AAAI Conference on Artificial Intelligence Year: 2020 Vol: 34 (04)Pages: 5166-5173
JOURNAL ARTICLE
Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation
Xiaofeng LiuYunhong LuXiongchang LiuSong BaiSite LiJane You
Journal: IEEE Transactions on Intelligent Transportation Systems Year: 2020 Vol: 23 (1)Pages: 587-596
DISSERTATION
Market making through reinforcement learning and Wasserstein DRO : an entropy-regularized approach
University: Texas Digital Library (University of Texas) Year: 2025
JOURNAL ARTICLE
Wasserstein Unsupervised Reinforcement Learning
Shuncheng HeYuhang JiangHongchang ZhangJianzhun ShaoXiangyang Ji
Journal: Proceedings of the AAAI Conference on Artificial Intelligence Year: 2022 Vol: 36 (6)Pages: 6884-6892
JOURNAL ARTICLE
Distributional Reinforcement Learning with Ensembles
Björn LindenbergJonas NordqvistKarl-Olof Lindahl
Journal: Algorithms Year: 2020 Vol: 13 (5)Pages: 118-118