Phase 1: Tournament Infrastructure and Baseline

Foundation for reinforcement learning chess AI development.

Achievements:

• Docker environment (Python 3.9-slim, tournament-compliant)
• Tournament interface validation
• Testing infrastructure (game_driver, baseline agents)
• Initial MyAwesomeAgent with alpha-beta search
• Material evaluation and move ordering

What This Unlocked:

• Tournament-identical development environment
• Foundation for NNUE architecture
• Testing framework for incremental development