IEEE

Deep Reinforcement Learning for Dependent Task Offloading in Multi-Access Edge Computing

Abstract: Multi-access Edge Computing (MEC) is an emerging and promising computing paradigm that distributes computational resources closer to users at the network edge, effectively reducing both ...
IEEE

Region-Farm Crop Planning Through Double Deep Q-Learning Toward Sustainable Agriculture

Abstract: Global food market faces escalating risks and uncertainties, bringing great challenges in balancing a country's food supply and demand. Therefore, it is of great significance to carry out ...
marktechpost

Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...