•1 min read•from Machine Learning
[P] I trained an AI to play Resident Evil 4 Remake using Behavioral Cloning + LSTM
![[P] I trained an AI to play Resident Evil 4 Remake using Behavioral Cloning + LSTM](/_next/image?url=https%3A%2F%2Fexternal-preview.redd.it%2FzgmJOxETuqgqlsgMxeBl7S4gZNDHf_K3U9w883ioT4M.jpeg%3Fwidth%3D320%26crop%3Dsmart%26auto%3Dwebp%26s%3Da63f97b9d03c40b846cd3eaac472e78050020a43&w=3840&q=75)
| I recorded gameplay trajectories in RE4's village — running, shooting, reloading, dodging — and used Behavioral Cloning to train a model to imitate my decisions. Added LSTM so the AI could carry memory across time steps, not just react to the current frame. The most interesting result: the AI handled single enemies reasonably well, but struggled with the fight-or-flee decision when multiple enemies were on screen simultaneously. That nuance was hard to imitate without more data. Full video breakdown on YouTube. Source code and notebooks here: https://github.com/paulo101977/notebooks-rl/tree/main/re4 Happy to answer questions about the approach. [link] [comments] |
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