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[NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers

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I find something strange in the results of the code. My results of navigation are as follows. The hyper-parameters are same with yours (Num_Agents =5). ![3AA0E43E-8901-49A4-9436-5D08A49AA57E](https://user-images.githubusercontent.com/47205275/188265802-ef1c591f-6c52-4859-8805-2cd7a41f08c7.png) Besides, I have a...

As seen in the code, the variance for APF controller is fixed at 0.6, which does not reflect Eqn. (18) in Bayesian controller fusion at IJRR.