Papers coauthored with Richard Lian
Publications
2025
Pheromone-based Learning of Optimal Reasoning Paths
Anirudh Chari, Aditya Tiwari, Richard Lian, Suraj Reddy, Brian Zhou*
Principal Investigator
. arXiv (under review), 2025arXiv (under review), 2025
We present ACO-ToT, an algorithm that leverages fine-tuned LLM "ants" guided by ant colony optimization to efficiently uncover optimal reasoning paths for complex problems.
MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems
Anirudh Chari, Suraj Reddy, Aditya Tiwari, Richard Lian, Brian Zhou*
Principal Investigator
. ICLR Workshop on Reasoning and Planning for LLMs; arXiv (under review), 2025ICLR Workshop on Reasoning and Planning for LLMs; arXiv (under review), 2025
We present MINDSTORES, an experience-augmented planning framework that enables embodied agents to build and leverage mental models through natural interaction, improving zero-shot LLM planning for complex open-world tasks.
2025