IEEE

Federated Multiagent Reinforcement Learning for Resource Allocation in NR-V2X Mode 2

Abstract: The Third Generation Partnership Project (3GPP) introduced cellular vehicle-to-everything (C-V2X) for vehicular communications. In the standard, C-V2X Mode 4 is defined for the distributed ...
IEEE

Deep Reinforcement Learning-Based Joint Caching and Routing in AI-Driven Networks

Abstract: To reduce redundant traffic transmission in both wired and wireless networks, optimal content placement problem naturally occurring in many applications is studied. In this paper, ...
Microsoft

Multimodal Reinforcement Learning with Agentic Verifier for AI Agents

Agentic reasoning models trained with multimodal reinforcement learning (MMRL) have become increasingly capable, yet they are almost universally optimized using sparse, outcome-based rewards computed ...