6 papers
WarpSAC: Towards the Pinnacle of Scalable Off-policy RL by Rethinking Exploration and Exploitation
Zihao Wu, Hongyao Tang, Yi Ma +9
Massively parallel simulation changes the data regime in which off-policy reinforcement learning (RL) is trained, challenging stabilizers designed for data-limited replay. Through…
Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity
Yulin Yu, Yan Chen, Rui Hu +2
Generative AI is transforming the workplace by augmenting and automating cognitive tasks, reshaping how organizations work and innovate while raising questions about workplace ineq…
Beyond Per-Request QoS: Coordinating Industrial Workflows with B5G/6G Network Capabilities
Qize Guo, Bjoern Riemer, Tarik Taleb +3
Beyond-5G (B5G) and 6G networks are expected to enable more complex industrial services, which often operate according to multi-phase workflows with phase-specific communication re…
AI in the Enterprise: How People Use M365 Copilot Chat
Scott Counts, Yan Chen, Jing Dong +9
M365 Copilot is used every week by millions of people across more than a million companies around the world as part of their workflows. Uniquely positioned in the AI landscape give…
KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
Masoud Shokrnezhad, Tarik Taleb, Yan Chen +1
Key Value Indicators (KVIs) provide a decision oriented view of a service by summarizing how operational performance translates into stakeholder value, risk, and outcomes. However,…
Toward E2E Intelligence in 6G Networks: An AI Agent-Based RAN-CN Converged Intelligence Framework
Youbin Han, Haneul Ko, Namseok Ko +2
Recent advances in intelligent network control have primarily relied on task-specific Artificial Intelligence (AI) models deployed separately within the Radio Access Network (RAN)…