SirStone 75e32e3315 PPO_Bot Fire campaign: 3787/3789 wins (99.95%); frozen eval 500/500 ...

Single 3789-round battle (5212-9000), only rounds 1-2 lost (cold start);
last 100 rounds 100%. Frozen-policy eval (PPOB_EVAL_ONLY=1, 500 rounds vs
Fire, counter 9000->9500): 500/500 = 100%, zero train lines, weights mtime
and content untouched. vLoss avg 39.7/max 361 stable throughout — bounded
terminal reward (db99153) holds at cumulative score ~462k.

2026-08-19 04:00:47 +02:00

docs

docs(research): goto controller algorithm for issue #20

2026-08-17 17:04:57 +02:00

GotoTest

feat(PPO_Bot): command abstraction layer — goto/aimTo controllers (#24)

2026-08-17 19:20:40 +02:00

libs/tankroyale_botapi

fix(botapi): static SVG + intent buffers to kill cross-thread heap realloc

2026-08-19 03:32:28 +02:00

PPO_Bot

PPO_Bot Fire campaign: 3787/3789 wins (99.95%); frozen eval 500/500

2026-08-19 04:00:47 +02:00

research

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

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

spike/arraymancer-test

feat(PPO_Bot): full PPO RL implementation (#14, #15, #16, #17)

2026-08-16 16:34:37 +02:00

tools

PPO_Bot Fire campaign: 3787/3789 wins (99.95%); frozen eval 500/500

2026-08-19 04:00:47 +02:00

CLAUDE.md

chore: add agent skills configuration

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

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