Variational Delayed Policy Optimization

no code implementations • 23 May 2024 • Qingyuan Wu, Simon Sinong Zhan, YiXuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

In environments with delayed observation, state augmentation by including actions within the delay window is adopted to retrieve Markovian property to enable reinforcement learning (RL).

Reinforcement Learning (RL) Variational Inference

Boosting Long-Delayed Reinforcement Learning with Auxiliary Short-Delayed Task

no code implementations • 5 Feb 2024 • Qingyuan Wu, Simon Sinong Zhan, YiXuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

Reinforcement learning is challenging in delayed scenarios, a common real-world situation where observations and interactions occur with delays.

reinforcement-learning

Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles

no code implementations • 26 Sep 2020 • Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang Xie, Zhu Han

These requirements ask for a well-designed computing architecture to support the Quality-of-Service (QoS) of CV applications.

Networking and Internet Architecture

Reliable Smart Road Signs

no code implementations • 30 Jan 2019 • Muhammed O. Sayin, Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi, Tamer Basar

Recently, vision-based road sign classification algorithms have been shown to be vulnerable against (even) small scale adversarial interventions that are imperceptible for humans.

Classification General Classification

Reliable Intersection Control in Non-cooperative Environments

no code implementations • 22 Feb 2018 • Muhammed O. Sayin, Chung-Wei Lin, Shinichi Shiraishi, Tamer Başar

We propose a reliable intersection control mechanism for strategic autonomous and connected vehicles (agents) in non-cooperative environments.