Patent ID: 11948083
Assignee: UMNAI LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. The method of claim 1, further comprising providing feedback from the explainable model to an explainable generative adversarial network, and inputting a simulator model and an agent environment to create an experience replay learning environment,
wherein the first model is a generator and the second model is an explainable discriminator, wherein the explainable discriminator is configured to provide feedback to the generator,
wherein the generator comprises an explainable simulator model, and a driver function configured to drive the explainable simulator model, wherein: the driver function is a differentiable function when the explainable simulator model is a neural network or gradient-descent based model, or the driver function is differentiable or non-differentiable when the explainable simulator model is a symbolic model, or
wherein the generator comprises a non-explainable simulator model, and the driver function is configured to drive the non-explainable simulator model, wherein: the driver function is differentiable when the non-explainable simulator model is a neural network or gradient-descent based model; or the driver function is differentiable or non-differentiable when the non-explainable simulator model is a symbolic model.