Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning

1 code implementation • 25 Nov 2021 • Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen

Existing methods mostly use the posterior penalty for dangerous actions, which means that the agent is not penalized until experiencing danger.

reinforcement-learning Reinforcement Learning (RL)

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations

no code implementations • 6 Oct 2019 • Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke

We study sequential recommendation in a particularly challenging context, in which multiple individual users share asingle account (i. e., they have a shared account) and in which user behavior is available in multiple domains (i. e., recommendations are cross-domain).

Sequential Recommendation

Neural Radiance Field in Autonomous Driving: A Survey

no code implementations • 22 Apr 2024 • Lei He, Leheng Li, Wenchao Sun, Zeyu Han, Yichen Liu, Sifa Zheng, Jianqiang Wang, Keqiang Li

To the best of our knowledge, this is the first survey specifically focused on the applications of NeRF in the Autonomous Driving domain.