SirStone eadd177d3b feat(PPO_Bot): reward + trajectory + GAE + PPO training (#16) ...

Manual-backprop PPO with Adam: TrajectoryBuffer, computeGAE, ppoUpdate
(4 epochs, minibatch 64, clip 0.2, grad norm 0.5). Reward helpers
computeTickReward/computeRoundReward. Bot wired: tick transitions
collected in run loop, ppoUpdate called on onRoundEnded. Fix: add
arraymancer import to PPO_Bot.nim so Tensor resolves at top level.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-08-16 15:27:15 +02:00

docs/agents

chore: add agent skills configuration

2026-08-15 19:26:43 +02:00

PPO_Bot

feat(PPO_Bot): reward + trajectory + GAE + PPO training (#16)

2026-08-16 15:27:15 +02:00

research

research: RL algorithm choice — recommend PPO for Tank Royale bot

2026-08-15 22:07:47 +02:00

CLAUDE.md

chore: add agent skills configuration

2026-08-15 19:26:43 +02:00

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