5 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…
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…
Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
Yang Fu, Peng Qin, Liming Chen +3
Artificial intelligence-generated content (AIGC) has emerged as a transformative paradigm for automating the creation of diverse and customized content, giving rise to rapidly grow…
Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks
Ruikun Wang, Qiaolun Zhang, Jiawei Zhang +7
To accommodate ever-growing traffic, network operators are actively deploying high-degree reconfigurable optical add/drop multiplexers (ROADMs) to build large-capacity optical netw…
Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)
Masoud Shokrnezhad, Hao Yu, Tarik Taleb +4
In the context of advancing 6G, a substantial paradigm shift is anticipated, highlighting comprehensive everything-to-everything interactions characterized by numerous connections…