Ali Zargarian

I see this error in my singleAgent too. Is it related to mismatch between New API stack and old one or something else? not any solution for this? 🙄

I found a solution for this. I changed the action call method (according to this: https://docs.ray.io/en/master/rllib/rllib-training.html) as below: ```python from ray.rllib.core.rl_module import RLModule # Create only the neural network (RLModule)...

@simonsays1980 @sven1977 The problem still persists(AttributeError: 'SingleAgentEnvRunner' object has no attribute 'get_policy') There isn't still any reliable fix for that??

Hi @AdithyaRaman No, actually when you use New API stack these will be created automatically in saved training directory , somewhere in your temp directory. It is as below: root>temp>...

I think your problem is something between the trained model and your environment. Why it should give you a vector with 4 when you pass your environment with an action_space...

Hello @alexhasenclever Is this updated script that you got good results? how was your acrion_space ? 2? discrete or continues? I tried with 6 discrete actions and got error!

thanks for your response, the 3D grid sensor senses(or collect) all info inside it too? or like raycasts it gets just the info whatever it hits? for example suppose I...