Author

Shayan Mohajer Hamidi

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#artificial intelligence Preprint Oct 2026

Target-ESS Tempered Policy Optimization (TETPO): Smooth Variance Control via Bridge Importance Sampling

Asynchronous reinforcement-learning post-training of large language models is computationally efficient but inherently off-policy: the learner updates on rollouts generated by a stale policy, while correcting this mismatch requires importance weights that can be extremely heavy-tailed. A small number of trajectories ma...

Shayan Mohajer Hamidi, Kayhan Behdin, Wen-Hui Zhu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Budgeted KV-Cache Repair for Evolving Contexts

Language-model agents revise their working context as information becomes obsolete, but deleting text does not erase its influence on cached computation. Later key-value (KV) states remain conditioned on the deleted content, while recomputing the entire retained suffix can be costly. We introduce budgeted KV-cache repa...

Han Yu, Wen-Hui Zhu, Jincheng Cao et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents

Hierarchical reinforcement learning improves long-horizon control by organizing primitive actions around persistent subgoals and assigning credit at multiple temporal scales. Recent hierarchical language agents bring these benefits to interactive tasks by explicitly separating subgoal planning from action execution. We...

Shayan Mohajer Hamidi, Yize Cheng, Yuanda Xu et al. · 0 citations