Author

Jinghan Li

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Preprint Oct 2026

TESS: LLM-guided Translation, Exploration, Simulation, and Search for Embodied Task Planning

In this work we focus on the problem of embodied task planning, which requires an agent to accomplish a complex task by separating it into atomic actions. Recent studies have developed LLM-based methods to address this problem. However, the executability and correctness of the generated plans remain suboptimal in compl...

Pei-Ran Xu, Yi-Xiang Yang, Jing-Han Li et al. · 0 citations

Jun 2026

Experience Augmented Policy Optimization for LLM Reasoning

This work proposes Experience-Augmented Policy Optimization (EAPO), which leverages a prior RL-optimized policy as an action-level experience prior and selectively injects experience at critical decision points during rollout to ensure stable and unbiased learning from experience-augmented rollouts.

Jinda Lu, Kexin Huang, Junkang Wu et al. · arXiv.org · 2 citations