Author

Semih Yavuz

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Preprint Aug 2026

Learning Generalizable Behaviors for Terminal Agents

River, a simple training recipe that improves reward quality by filtering low-quality environments and augmenting outcome rewards with process-level behavior regularization is proposed, which achieves the best performance among evaluated open-source RL-trained 8B models across four terminal-agent benchmarks.

Yi-Fan Yao, Bo Pang, Xuan-Phi Nguyen et al. · 0 citations

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