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I've checked to see whether this bug persists on another machine. It doesn't. It only occurs on the machine which trained with the executable.
I am also unable to maximise the window. This occurs for every build I have made with unity using ML-agents
The window size for all my Unity executables is really small (the same size as when training using executables) after training with multiple...
I mean that I have multiple duplicated agents in a single scene. But within this scene multiple environments are training in parallel, like the...
Sorry I meant to say multiple instances of the same agent in the scene, each contributing to the same policy.
In what scenarios would the agent be trained differently with multiple Unity instances? I currently have a scene training with multiple agents....
I'm looking for ways to speed up training and found this in the documentation: Training Using Concurrent Unity Instances. What is meant here by...
Ok great, I think I understand. Thanks for all the info. I wish I could remember where I came across the multiplication of step by the number of...
I'm trying to train an agent with other agents in the scene running on inference. I remember reading somewhere that either the max step or step...
This worked. Thanks! Timescale was set at 20 during inference for some reason
I remember reading something a while ago, either on this forum or in the documentation, that you need to times the max step of each agent by the...
You might need to properly setup and teardown each test: [SetUp] public void Init() { // loads a new scene...
I'm using the same control code for training and inference. I imagine I am experience studder-step, but I didn't anticipate such a large...
This is occurring during inference, which is why I'm confused. I thought inference was supposed to run at normal time. Where do I find Player...
My agent seems to move extremely fast during inference. I think may have something to do with the frames per second during inference - 60-90fps. I...
I'll try removing the stack and being more patient with LSTM - it seems as though the agents ability to remember where it has been is crucial.
There are 20 observations in the stack, 2 for each tile position, so that accounts for 10 previously visited ties. This should be plenty for any...
I'm trying to create an agent which can traverse a maze-like environment, but the resulting behaviour has not lived up to my expectations. I have...
I'm training two agents in cycles where one will be using inference and the other will be training. If the inferring agent calls EndEpisode while...
I am trying to convert the location of a ray from a RayPerceptionSensor component, however i'm having difficulties. Here is the code: public...