feat: Implement Action-Alignment Loss Architecture

[google-labs-jules]

• Added ActionAlignmentLoss PyTorch module to bind predicted utility to executed policy.
• Added comprehensive unit tests against the Rock, Paper, Scissors 'Nash Trap'.
• Authored ADR 31 to formalize the architecture.
• Documented three key research prompts for future deployment.
• Updated LEXICON.md with the formal definition of Action-Alignment Loss.

---

PR created automatically by Jules for task 12667561082401712463 started by @projectedanx

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.