1 citations · 1 across the 2 of their papers we have counts for
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Evolving Programmatic Skill Networks
Haochen Shi, Xingdi Yuan, Bang Liu
We study continual skill acquisition in open-ended embodied environments where an agent must construct, refine, and reuse an expanding library of executable skills. We introduce th…
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Qianggang Ding, Haochen Shi, Jiadong Guo +1
The integration of Artificial Intelligence (AI) in the financial domain has opened new avenues for quantitative trading, particularly through the use of Large Language Models (LLMs…
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté +3
Large language models (LLMs) have been increasingly applied to tasks in language understanding and interactive decision-making, with their impressive performance largely attributed…
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
Haochen Shi, Zhiyuan Sun, Xingdi Yuan +2
Embodied Instruction Following (EIF) is a crucial task in embodied learning, requiring agents to interact with their environment through egocentric observations to fulfill natural…
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
Dekun Wu, Haochen Shi, Zhiyuan Sun +1
In this study, we explore the application of Large Language Models (LLMs) in \textit{Jubensha}, a Chinese detective role-playing game and a novel area in Artificial Intelligence (A…