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Browser demo of our Clash Royale RL environment: a 5.6k-parameter REINFORCE policy learns defensive placement against a brute-force optimum [P]

Yesterday I shared our open-source Clash Royale simulator and its recurrent PPO agent here. A training loop is easier to understand when you can watch it, so we put a small interactive version online: https://itzik123.github.io/ClashRoyaleAi/lab/ The task is one decision. An attacker spawns at a ra…

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  1. 2026-09-28 14:06 · r/MachineLearning
    Browser demo of our Clash Royale RL environment: a 5.6k-parameter REINFORCE policy learns defensive placement against a brute-force optimum [P]

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