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

Reward Based Charging and Discharging of Electric Vehicles Using Deep Q-Learning and Stackelberg Game

Abstract: The growing adoption of electric vehicles (EVs) poses significant challenges for grid operators, especially in managing load fluctuations during peak charging times. This paper introduces a ...
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 ...