feat(training): add wall and rebound curriculum states

TODO.md

@@ -7,7 +7,7 @@ Deferred work, in rough priority order. The current architecture (ShipAction/Shi
 The training pipeline is built — see `TRAINING.md` (self-play PPO via the vendored godot_rl_agents bridge, JSON policy export, in-game GDScript inference, eval ladder). Remaining:
 
 - [ ] Run the generation-5 handling/intercepts/league/teamplay curriculum described in `TRAINING.md`; promote later checkpoints as `medium`/`hard` only after they clear the match and behaviour gates. The orchestrator now requires three independent paired evaluation seeds for each promotion decision; the current Stage 6 league run remains blocked on its recorded regression/telemetry results.
-- [ ] Extend generation 5's moving aerial-intercept states with wall plays and rebound scenarios after Stage 5 establishes a productive-air-touch baseline.
+- [ ] Extend generation 5's moving aerial-intercept states with wall plays and rebound scenarios after Stage 5 establishes a productive-air-touch baseline. The opt-in wall-play/rebound state generator is now implemented and enabled for the next Stage 6 league command; training evidence is still required.
 - [x] Design team-credit rewards and paired 2v2 evaluation before enabling the deferred teamplay stage. `team_touch_credit_weight` is zero by default and `evaluate.py --team-size=2` provides the opt-in paired evaluator; Stage 7 remains disabled pending recorded 2v2 behaviour gates.
 
 ## Presentation / AAA polish