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bards-ai
Jaxpot
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refactor(utils): split checkpoints.py into 3 focused modules (#28)
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chore: improve CLI error on missing env + clarify debug-dump fallback…
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refactor(utils): split checkpoints.py into 3 focused modules
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#43:
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refactor/checkpoints-split
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chore: improve CLI error on missing env + clarify debug-dump fallback
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chore/ergonomics-cleanup
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chore: silence flax/optax deprecation warnings in trainer + tests (#26)
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chore: silence flax/optax deprecation warnings in trainer + tests
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chore/deprecations-cleanup
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refactor(env): replace visualizer's 600-line elif chain with dispatch…
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fix(rl): unbreak MultiSteps + add Hydra integration test for train() …
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ci: bump astral-sh/setup-uv from @v3 to @v6 (#25)
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ci: bump astral-sh/setup-uv from @v3 to @v6
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chore(web): replace print() with loguru (#22)
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refactor(env): replace visualizer's 600-line elif chain with dispatch
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refactor/visualizer-dispatch
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fix(rl): unbreak MultiSteps + add Hydra integration test for train()
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refactor(training): split train_selfplay.py into focused modules
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docs(mcts): explain unconditional model call on done lanes (#18)
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fix(league): use nnx.clone so snapshots are isolated from source (#17)
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fix(rl): reshape mask to match values in value_loss_fn (#16)
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fix(checkpoints): fsync metadata writes + reject empty state/ (#15)
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docs(mcts): explain unconditional model call on done lanes
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chore(p4): add pyrightconfig.json + development conventions doc (#14)
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fix(league): use nnx.clone so frozen snapshots are isolated from source
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fix/league-clone-array-sharing
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test(p3): replace structural tests with behavioral + add integration …
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test(p3): rollout buffer + league + checkpoint + evaluator coverage (…
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P3-B: PPO + AlphaZero trainer-step smoke tests (#11)
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P3-B: PPO + AlphaZero trainer-step smoke tests
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