Research
Training an AI to play Resident Evil Requiem using Behavior Cloning + HG-DAgge [P]
This r/MachineLearning post details a project in which a developer trains an AI agent to autonomously play *Resident Evil Requiem* using imitation learning techniques — starting with Behavior Cloning
This r/MachineLearning post details a project in which a developer trains an AI agent to autonomously play Resident Evil Requiem using imitation learning techniques — starting with Behavior Cloning to bootstrap a base policy from human gameplay demonstrations, then iteratively refining it with HG-DAgger (Human-Gated Dataset Aggregation), where a human expert intervenes to provide corrective actions when the agent behaves poorly. The combination addresses a key weakness of pure Behavior Cloning — compounding errors from distribution mismatch — by allowing the agent to learn from states it actually encounters during its own rollouts rather than only from the initial expert demonstrations.
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Source: r/MachineLearning | 2026-04-12