70964394d4
README updated with: - Vectorized UCB selection (7.7x speedup, 1.13µs/selection) - Batch MCTS kernel (numba-accelerated) - Fast scalar + advantage scoring modes - Updated performance benchmarks (1186 tests, 390 scenarios, 3043 score/min) - Advantage scorer module in package structure smoke_1h.py: standalone training script for extended runs. Total session: 19 commits, 1186 tests, all green. All implementations: parallel eval (7x), vectorized reward (numba), vectorized UCB (7.7x), fast scalar scoring, advantage mode, DuckDB store (sub-µs reads), asset compiler, behavior DSL, multi-exchange support, three-layer identifiers.