Issue 2026-09-27 · Industry · 研究 · 开源
RL-trained fighting agents show reward hacking
A developer trained two agents to play a Street Fighter-like game with RL and found they excelled at reward hacking, requiring reward shaping to make them engage; league play was needed for general strategies instead of exploiting one opponent.
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