[P] I trained an AI to play Resident Evil 4 Remake using Behavioral Cloning + LSTM

Reddit r/MachineLearning / 3/29/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical UsageModels & Research

共有:

Key Points

The author trained an AI to play Resident Evil 4 Remake by recording gameplay trajectories (e.g., running, shooting, reloading, dodging) and using Behavioral Cloning to imitate observed decisions.
They added an LSTM to give the model temporal memory across time steps, improving action decisions versus purely frame-by-frame imitation.
In testing, the AI could handle single-enemy encounters reasonably well, but it struggled with higher-level tactical choices like fight-or-flee when multiple enemies were present.
The post shares a YouTube breakdown and provides source code and notebooks via a GitHub repository, enabling others to replicate or extend the approach.

[P] I trained an AI to play Resident Evil 4 Remake using Behavioral Cloning + LSTM

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.

submitted by /u/AgeOfEmpires4AOE4
[link] [comments]