arXiv Machine Learning By Kaixuan Liu, Guojun Xiong, Weinan Zhang, Shengpu Tang

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents

Read the original on arXiv Machine Learning →

arXiv:2606. 05558v1 Announce Type: new Abstract: Evaluating large language model (LLM) agents in multi-turn interactive environments is expensive and risky, as it requires online environment interaction.

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arXiv AI
Jun 2

Improving Diffusion Planners by Self-Supervised Action Gating with Energies

arXiv:2603. 02650v2 Announce Type: replace-cross Abstract: Diffusion planners are a strong approach for offline reinforcement learning, but they can fail when value-guided selection favours trajectories that score well yet are locally inconsistent with the environment dynamics, resulting in brittle execution.

By Yuan Lu, Dongqi Han, Yansen Wang, Dongsheng Li