Yusen Huo — accepted AI-conference papers

2024

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games

Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu +2

NeurIPS 2024spotlight

Decision-making in large-scale games is an essential research area in artificial intelligence (AI) with significant real-world impact. However, the limited access to realistic large-scale game environments has hindered research progress in this area. In this paper, we present AuctionNet, a benchmark…

Cited by 3 Source ↗code ↗Scholar ↗

2022

Sustainable Online Reinforcement Learning for Auto-bidding

Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu +1

NeurIPS 2022accept

Recently, auto-bidding technique has become an essential tool to increase the revenue of advertisers. Facing the complex and ever-changing bidding environments in the real-world advertising system (RAS), state-of-the-art auto-bidding policies usually leverage reinforcement learning (RL) algorithms t…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗