Cost-Aware Reinforcement Learning with Action Masking and Projection for Battery Energy Storage Dispatch under Suppressed-Spread Market Shifts

arXiv:2609.23590 · cs.LG, cs.AI, cs.SY, eess.SY · Submitted 2026-09-20 · Read on arXiv

cs.LG, cs.AI, cs.SY, eess.SY

Submitted: 2026-09-20

Updated: 2026-09-20

Comments: Accepted for publication at IEEE IECON 2026. 6 pages, 3 figures, 3 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 13× in this paper · explained in 4 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
• Action Masking — 3× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Proximal Policy Optimization (PPO) — 2× in this paper · explained in 4 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
• Digital Twin — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes

Sources

• Proximal Policy Optimization Algorithms
• Distributionally Robust Self Paced Curriculum Reinforcement Learning

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