SirStone
eadd177d3b
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>
12 lines
258 B
JSON
12 lines
258 B
JSON
{
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"name": "PPO_Bot",
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"version": "0.1.0",
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"authors": ["Davide Cappellini"],
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"description": "PPO-trained RL bot",
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"homepage": "",
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"countryCodes": ["IT"],
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"gameTypes": ["classic", "melee", "1v1"],
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"platform": "Nim",
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"programmingLang": "Nim"
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}
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