Discrete Soft Actor-Critic Algorithm With Heuristic-Based Action Mapping for RMSCA in MCF-EONs
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2025.3617511
Abstract: This paper proposes a novel deep reinforcement learning (DRL) architecture that enables effective decoupling between the agent and the environment for routing, modulation, spectrum, and core allocation (RMSCA) in multi-core fiber elastic optical networks (MCF-EONs).… read more here.
Keywords: action mapping; rmsca; based action; heuristic based ... See more keywords
Action Mapping: A Reinforcement Learning Method for Constrained-Input Systems.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3138924
Abstract: Existing approaches to constrained-input optimal control problems mainly focus on systems with input saturation, whereas other constraints, such as combined inequality constraints and state-dependent constraints, are seldom discussed. In this article, a reinforcement learning (RL)-based… read more here.
Keywords: constrained input; systems action; reinforcement learning; action mapping ... See more keywords