AI RESEARCH
For How Long Should We Be Punching? Learning Action Duration in Fighting Games
arXiv CS.LG
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ArXi:2605.20911v1 Announce Type: cross Fighting games such as Street Fighter II present unique challenges to reinforcement learning (RL) agents due to their fast-paced, real-time nature. In most RL frameworks, agents are hard-coded to make decisions at a fixed interval, typically every frame or every N frames. Although this design ensures timely responses, it restricts the agent's ability to adjust its reaction timing.