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ML Adapter

Experimental

MLAdapter

A framework for training and utilizing machine learning agents in games. Creates an RPC interface through which an external process can query game state and control in-game actors. Once trained, agents can be run in-engine via neural networks loaded from ONNX models.

Maturity by version

UE 5.5 · v0.0.1Experimental
UE 5.6 · v0.0.1Experimental
UE 5.7 · v0.0.1Experimental
UE 5.8 · v0.0.1Experimental

Status has not changed across the versions tracked.