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Solve Hi-Q with AlphaZero and Curriculum Learning

robw.fyi · published 28 December 2025

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https://www.hillelwayne.com/post/picat/
hillelwayne.com
https://en.wikipedia.org/wiki/Peg_solitaire
en.wikipedia.org
http://picat-lang.org/
picat-lang.org
https://github.com/r33drichards/minizinc-mcp
github.com
https://www.kurims.kyoto-u.ac.jp/~kyodo/kokyuroku/contents/pdf/1185-11.pdf
kurims.kyoto-u.ac.jp
https://en.wikipedia.org/wiki/Proximal_policy_optimization
en.wikipedia.org
https://pytorch.org/
pytorch.org
https://gymnasium.farama.org/
gymnasium.farama.org
https://gymnasium.farama.org/environments/classic_control/cart_pole/
gymnasium.farama.org
https://gymnasium.farama.org/environments/box2d/lunar_lander/
gymnasium.farama.org
https://gibberblot.github.io/rl-notes/single-agent/reward-shaping.html
gibberblot.github.io
Curriculum for Reinforcement Learning Read at the source ↗
lilianweng.github.io
https://en.wikipedia.org/wiki/AlphaZero
en.wikipedia.org
https://en.wikipedia.org/wiki/Monte_Carlo_tree_search
en.wikipedia.org
https://www.nvidia.com/en-us/data-center/h100/
nvidia.com
https://docs.anthropic.com/en/docs/claude-code
docs.anthropic.com
https://github.com/r33drichards/hiq-ppo
github.com
https://r33drichards.github.io/hiq-ppo/
r33drichards.github.io