Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

no code implementations • 22 Dec 2023 • Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang

This paper presents a general framework model for integrating and learning structured reasoning into AI agents' policies.

Reinforcement Learning (RL)

Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning

no code implementations • 3 Jun 2021 • Peng Yang, Tony Q. S. Quek, Jingxuan Chen, Chaoqun You, Xianbin Cao

This paper investigates the problem of providing ultra-reliable and energy-efficient virtual reality (VR) experiences for wireless mobile users.

reinforcement-learning Reinforcement Learning (RL)

Power Control for a URLLC-enabled UAV system incorporated with DNN-Based Channel Estimation

no code implementations • 14 Nov 2020 • Peng Yang, Xing Xi, Tony Q. S. Quek, Xianbin Cao, Jingxuan Chen

This problem is challenging to be solved due to the requirement of analytically tractable channel models and the non-convex characteristic as well.