Author

Pengyi Li

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#artificial intelligence Preprint Sep 2026

Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement

This paper proposes Generalized Agent Iteration (GAI), a formal framework that describes iterative policy improvement and RSI as two cases of a single learning paradigm that rests on the classical account, makes existing systems comparable, and provides a principled basis for analyzing and designing new ones.

Hongyao Tang, Yi Ma, Pengyi Li et al. · 0 citations

Conference Open access Sep 2026

Guiding Team Objectives with Individual Policies: A Two-Stage Model Aggregation Framework for Partially Cooperative MARL

Two-Stage Model Aggregation (TSMA), a novel multi-policy MA framework for multi-agent reinforcement learning (MARL) that leverages individual policies to enhance team cooperation, is proposed and integrated with MAPPO and MADDPG, demonstrating significant improvements in PCMG.

Wan-Ting Liu, Bao-Xi Wang, Pengyi Li et al. · Proceedings of the Thirty-Fi... · 0 citations

2025

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

This work proposes LaRes, a novel hybrid framework that achieves efficient policy learning through reward function search by leveraging large language models to generate the reward function population, guiding RL in policy learning.

Pengyi Li, Hongyao Tang, Jinbin Qiao et al. · Neural Information Processin... · 7 citations