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stat.ML2026
Ask to Learn: Query-Based Collaborative Reinforcement Learning
Kaicheng Zhang, Hongqian Niu, Laixi Shi +3
Offline reinforcement learning is fundamentally limited by the coverage of the available data, while collecting additional trajectories through online exploration may be costly, un…
cs.LG2026
Learning Fractional-Order Dynamics from a Single Trajectory
Xiaole Zhang, Ziyi Zhang, Zehao Zhao +4
Many real-world processes exhibit long-range dependence, where the current state depends on a slowly decaying trace of past states rather than on the most recent state alone. This…