Unity Sentis
A cross-platform neural network inference library released by Unity, formerly known as Barracuda. It supports importing ONNX models into Unity projects and executing forward inference on the CPU or GPU at runtime.
Timeline (last 90 days)
A developer on Reddit shared a project called "Wolfpack Protocol" that uses PPO reinforcement learning in continuous action space to train an autonomous combat swarm of four drones, with inference running entirely on Unity Sentis and abandoning NavMesh and pre-baked paths.
After training, the project's PPO policy is deployed directly to Unity Sentis for forward inference, with no Python process required at runtime, and the developer gives a latency figure of sub-0.1ms.
Unity Sentis is Unity's official cross-platform neural network inference library (formerly Barracuda) that allows developers to import ONNX-format models directly into Unity projects and execute forward inference at runtime on CPU or GPU, supporting the editor, desktop, mobile and even WebGL.
All Facts (3)
After training, the project's PPO policy is deployed directly to Unity Sentis for forward inference, with no Python process required at runtime, and the developer gives a latency figure of sub-0.1ms.
50%UnverifiedUnity Sentis is Unity's official cross-platform neural network inference library (formerly Barracuda) that allows developers to import ONNX-format models directly into Unity projects and execute forward inference at runtime on CPU or GPU, supporting the editor, desktop, mobile and even WebGL.
50%UnverifiedA developer on Reddit shared a project called "Wolfpack Protocol" that uses PPO reinforcement learning in continuous action space to train an autonomous combat swarm of four drones, with inference running entirely on Unity Sentis and abandoning NavMesh and pre-baked paths.
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