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Preprint Oct 2026

Evo-RL: Iterative Robot Reinforcement Learning from Selective Experience

Existing real-world reinforcement learning methods improve robot policies by combining human corrections with autonomous rollouts. However, accumulated experience varies in its value for policy improvement, and even successful trajectories can contain inefficient or redundant behavior, motivating more selective experie...

Kai Ye, Yinhaoyu Jin, Qian-Hang Luo et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model Agents

This work introduces Global Executive Control (GEC) v0.2, an uncertainty-aware governance architecture that separates action generation from project-level control and mechanistic simulations support explicit governance of scope, evidence, resource use, and stopping, while live-model validation remains necessary.

Dong-Sheng Xiao, Ze-Yuan Wang, Xu-Zhe Xia et al. · 0 citations

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