Multi-Turn Reasoning LLMs for Task Offloading in Mobile Edge Computing

arXiv:2604.07148 · cs.LG · Submitted 2026-04-08 · Read on arXiv

cs.LG

Submitted: 2026-04-08

Updated: 2026-08-26

Terminology

• GRPO — 35× in this paper · explained in 6 episodes
• Mobile Edge Computing — 18× in this paper · explained in 2 episodes
• Reinforcement Learning — 17× in this paper · explained in 4 episodes
• Generalization — 13× in this paper · explained in 13 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Action Space — 5× in this paper · explained in 1 episode
• Adaptability — 5× in this paper · explained in 1 episode
• Group Relative Policy Optimization — 5× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning (DRL) — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Supervised Fine-Tuning — 3× in this paper
• Abstraction — 2× in this paper · explained in 1 episode
• Active Inference — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• GRPO Objective — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Look-Ahead Collaborative Simulation — 2× in this paper
• Reward Shaping — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Digital Twin — 1× in this paper · explained in 5 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 15 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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