MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones. - Junyi Gao; Weihao Tan; Liantao Ma; Yasha Wang; Wen Tang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. - Weihao Tan; Devdhar Patel; Robert Kozma 001 (AAAI, 2021)

On Optimizing Interventions in Shared Autonomy. - Weihao Tan; David Koleczek; Siddhant Pradhan; Nicholas Perello; Vivek Chettiar; Vishal Rohra; Aaslesha Rajaram; Soundararajan Srinivasan; H. M. Sajjad Hossain; Yash Chandak (AAAI, 2022)

Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning. - Yuchen Xiao; Weihao Tan; Christopher Amato (NeurIPS, 2022)

Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. - Weihao Tan; Robert Kozma 001; Devdhar Patel (Knowl. Based Syst., 2022)

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (ICLR, 2024)

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (CoRR, 2024)

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. - Weihao Tan; Ziluo Ding; Wentao Zhang 007; Boyu Li 003; Bohan Zhou; Junpeng Yue; Haochong Xia; Jiechuan Jiang; Longtao Zheng; Xinrun Xu; Yifei Bi; Pengjie Gu; et al. (CoRR, 2024)

TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (Int. J. Artif. Intell. Robotics Res., 2024)

Asynchronous multi-agent deep reinforcement learning under partial observability. - Yuchen Xiao; Weihao Tan; Joshua Hoffman; Tian Xia; Christopher Amato (Int. J. Robotics Res., 2025)

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning. - Lang Feng 002; Weihao Tan; Zhiyi Lyu; Longtao Zheng; Haiyang Xu 001; Ming Yan 008; Fei Huang 002; Bo An 001 (CoRR, 2025)

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley. - Weihao Tan; Changjiu Jiang; Yu Duan; Mingcong Lei; Jiageng Li; Yitian Hong; Xinrun Wang; Bo An 001 (CoRR, 2025)