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#machine learning Preprint Sep 2026

ALDER: Discovering the Laws of a World by Acting in It

AlDER (Action-guided Law Discovery, Evaluation, and Revision), a method that actively proposes novel experiments to test and revise models, shows that explicit equation-based world models can be tested and revised through interaction, then naturally used to guide goal-directed control.

Teng Cao, Yuwanqi Deng, Quentin Delfosse et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents

CANOPY (Coverage-ANchored On-PolicY RL), a minimalist protocol attacking both Signal starvation and policy drift, internalizes long-horizon capability directly into a small open model; the complete training stack is planned to be released at https://github.com/AlibabaResearch/SignalCoverageRL.

Li-Ming Pu, Xiao-Xiao Li, Yi-Fu Liu et al. · 0 citations

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