4 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…
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)…