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Author

Rui Sun

University of California, Los Angeles

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#artificial intelligence Preprint Sep 2026

APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering

APEx is proposed, a hierarchical experience utilization framework that organizes interaction history into instance-level trajectory memories and category-level procedural skills, and couples them through a closed-loop architecture of Executor, Distiller, and Planner, allowing ground-truth-free self-improvement with ski...

Jie Ding, Rui Sun, Xin-Yi Zhang et al. · 2 citations

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

This work presents Memory as a Controlled Process (MemCon), a framework that models memory operations as a Markov Decision Process and learns an online policy that adaptively decides when, what, and how much to retrieve, when to inject a distilled plan, and when to consolidate or forget.

Eric Jiang, Zhi Zhang, Yuchen Wu et al. · 1 citation
Preprint Jul 2026

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

This work progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduces LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift.

Fan Jiang, Zhaoxu Sun, Mengchao Wang et al. · 6 citations

Aligning Agentic World Models via Knowledgeable Experience Learning

WorldMind is introduced, a framework that autonomously constructs a symbolic World Knowledge Repository by synthesizing environmental feedback that unifies Process Experience to enforce physical feasibility via prediction errors and Goal Experience to guide task optimality through successful trajectories.

Baochang Ren, Yunzhi Yao, Rui Sun et al. · 3 citations · ⚡1

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