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  • Add comprehensive loss breakdown showing raw vs weighted values
  • Display contribution percentages for each head (policy, value, ownership, score_diff)
  • Update Python version requirement to >=3.11 for better compatibility
  • Update dependencies lock file

This helps visualize how different loss components contribute to the
total gradient signal, making it easier to tune multi-head loss weights.

- Add comprehensive loss breakdown showing raw vs weighted values
- Display contribution percentages for each head (policy, value, ownership, score_diff)
- Update Python version requirement to >=3.11 for better compatibility
- Update dependencies lock file

This helps visualize how different loss components contribute to the
total gradient signal, making it easier to tune multi-head loss weights.
@jthemphill jthemphill merged commit 094e97a into main Jan 4, 2026
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@jthemphill jthemphill deleted the claude/ucb-mcts-exploration-Prt3o branch January 4, 2026 05:01
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3 participants