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cs.LG2025
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
Amir Abolfazli, Zekun Song, Avishek Anand +1
The success of deep reinforcement learning (DRL) relies on the availability and quality of training data, often requiring extensive interactions with specific environments. In many…
cs.LG2024★ 1 cited
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao, Yile Chen, Gao Cong +2
Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily…