Author

Yifei Ming

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Preprint Jul 2026

Procedural Memory Distillation: Online Reflection for Self-Improving Language Models

Procedural Memory Distillation is proposed, which converts crossepisode signals into reusable procedural memory and distills it into the policy's weights during training, yielding a memory-free model at inference.

Ye Liu, Srijan Bansal, Bo Pang et al. · 2 citations

Preprint Aug 2026

EnvHarness: Awakening Static Worlds for Agent Learning

Environment Harness is proposed, a programmable layer of plug-in components that wraps a static environment to reshape its behavior without modifying the underlying logic, enabling continuous, targeted co-evolution of the policy and its environment.

Chengsong Huang, Zifeng Wang, Rujun Han et al. · 0 citations