Weihao Tan

According to our database, Weihao Tan authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection.

Chaobo Jia, Ruipeng Wan, Ting Sun, Weihao Tan, Borui Wan, Yuxuan Tong, Guangming Sheng, Hong Xu

CoRR, May, 2026

Participants sample generation based on association rules and data imputation in vertical federated learning.

Xin Liu, Hangxuan He, Weihao Tan, Feng Chen, Ying Qian, Qingjie Wei, Hongjun Zhu

Expert Syst. Appl., 2026

2025

Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds.

Weihao Tan, Xiangyang Li, Yunhao Fang, Heyuan Yao, Shi Yan, Hao Luo, Tenglong Ao, Huihui Li, Hongbin Ren, Bairen Yi, Yujia Qin, Bo An, Libin Liu, Guang Shi

CoRR, November, 2025

Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents.

Zihao Wang, Xujing Li, Yining Ye, Junjie Fang, Haoming Wang, Longxiang Liu, Shihao Liang, Junting Lu, Zhiyong Wu, Jiazhan Feng, Wanjun Zhong, Zili Li, Yu Wang, Yu Miao, Bo Zhou, Yuanfan Li, Hao Wang, Zhongkai Zhao, Faming Wu, Zhengxuan Jiang, Weihao Tan, Heyuan Yao, Shi Yan, Xiangyang Li, Yitao Liang, Yujia Qin, Guang Shi

CoRR, October, 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

CoRR, July, 2025

Asynchronous multi-agent deep reinforcement learning under partial observability.

Yuchen Xiao, Weihao Tan, Joshua Hoffman, Tian Xia, Christopher Amato

Int. J. Robotics Res., 2025

Cradle: Empowering Foundation Agents towards General Computer Control.

Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning.

Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning.

Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

Int. J. Artif. Intell. Robotics Res., June, 2024

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study.

Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu

CoRR, 2024

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.

Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

CoRR, 2024

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning.

Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms.

Weihao Tan, Robert Kozma, Devdhar Patel

Knowl. Based Syst., 2022

Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning.

Yuchen Xiao, Weihao Tan, Christopher Amato

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks.

Weihao Tan, Devdhar Patel, Robert Kozma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones.

Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang

Proceedings of the 2019 IEEE SmartWorld, 2019