PolicyAttention: Softmax Attention Implements Policy Mirror Descent for Closed-Loop Control

arXiv:2609.30500 · cs.LG, cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Actor — 70× in this paper · explained in 3 episodes
• Adaptation — 25× in this paper · explained in 1 episode
• Benchmark — 19× in this paper · explained in 2 episodes
• Transformer — 19× in this paper · explained in 2 episodes
• Calibration — 13× in this paper · explained in 7 episodes
• Fidelity — 13× in this paper · explained in 2 episodes
• Distillation — 12× in this paper · explained in 2 episodes
• Algorithm Distillation — 10× in this paper
• Reinforcement Learning — 7× in this paper · explained in 4 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Closed-Loop Control — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Algorithm Distillation (AD) — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• In International Conference on Learning Representations — 1× in this paper
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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