SirStone/SirRoboGarage
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3 Commits

Author SHA1 Message Date
SirStone 766b9e03ee feat(PPO_Bot): enemy-centered action space + reward shaping for 100% vs Target 
- actions.nim: goto/aimTo coordinates now offset from enemy position
  (enemyX + tanh(raw) * scale) instead of absolute arena coords
  (sigmoid(raw) * arenaSize). Initial random policy defaults to
  approaching and aiming at enemy.
- training.nim: added dense reward shaping (distance closeness +
  gun bearing) to computeTickReward, doubled round reward scaling.
- PPO_Bot.nim: passes enemy position to mapActions, computes
  gun-to-enemy bearing for reward shaping.

Result: 100/100 win rate vs Target with frozen weights.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-08-18 17:40:59 +02:00
SirStone cdde60d79f feat(PPO_Bot): command abstraction layer — goto/aimTo controllers (#24) 
- Add gotoTick/aimToTick controller functions (#25)
- Update network dims: actor 5→6, state 42→44 (#26)
- Rewrite mapActions for 6-dim command space (#27)
- Delete stale weight files (shape mismatch)
- Fix existing tests for new signatures

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-08-17 19:20:40 +02:00
SirStone aa4bc77068 feat(PPO_Bot): network forward pass + action mapping (#14) 
Two-hidden-layer MLP actor-critic (42→64→64→5/1) with stochastic
actorForward, logStd floor at -3, and BotAction mapper wired into
the run() loop. Assert-based test suite covers shapes, finiteness,
logStd collapse, and all action range bounds.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-08-16 15:10:46 +02:00