PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning

arXiv:2403.17637v1 Announce Type: new
Abstract: Task offloading, crucial for balancing computational loads across devices in networks such as the Internet of Things, poses significant optimization challenges, including minimizing latency and energy usage under strict communication and storage constraints. While traditional optimization falls short in scalability; and heuristic approaches lack in achieving optimal outcomes, Reinforcement Learning (RL) offers a promising avenue by enabling the learning of optimal offloading strategies through iterative interactions. However, the efficacy of RL hinges on access to …

abstract arxiv challenges communication computational constraints cs.ai cs.lg devices energy environment internet internet of things latency networks optimization reinforcement reinforcement learning scalability storage type usage