Cooperative Dueling DQN SAC Learning for Energy Efficiency in Dynamic OWC Networks

arXiv:2610.09266 · eess.SY, cs.SY · Submitted 2026-10-07 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Actor — 18× in this paper · explained in 3 episodes
• Reinforcement Learning — 13× in this paper · explained in 4 episodes
• Energy Efficiency — 12× in this paper · explained in 3 episodes
• Cooperation — 8× in this paper · explained in 2 episodes
• Action Space — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Q-learning — 5× in this paper · explained in 3 episodes
• Soft Actor-Critic — 4× in this paper
• Markov Decision Process — 2× in this paper
• Resource Constraints — 2× in this paper · explained in 3 episodes
• Discrete Resource Agent — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes

Sources

• Predictive and Proactive Power Allocation For Energy Efficiency in Dynamic OWC Networks
• Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
• Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
• Soft Actor-Critic Algorithms and Applications

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