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 ...
GitHub

NVIDIA AI-Q Blueprint

Note: Configure at least one data source (Tavily web search, Serper search tool, or knowledge layer) to enable research functionality. If these optional API keys are not provided, the agent continues ...
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 ...
IEEE

A Novel Multi-Objective Deep Q-Network: Addressing Immediate and Delayed Rewards in Multi-Objective Q-Learning

Abstract: Current multi-objective reinforcement learning (MORL) research often struggles to balance multiple objectives and manage the stability and performance of learning algorithms, especially in ...