How to solve "Invalid input argument type or size such as observation, reward, isdone or loggedSignals." error? (Reinforcement Learning Toolbox)

I did an implementation of the 2D Bin Packing Problem using the Reinforcement Toolbox, where i defined my environment and agent. When I try to train my agent I get the error "Invalid input argument type or size such as observation, reward, isdone or loggedSignals.". I checked the output variables of my step function and it seems, that they have valid values. When i manually give the Actions to my environment, it gives the expected output and proceeds without problem. So I guess there is a problem with the agent (Neural Network)? Attached you can find a .zip file containing all the functions needed. The script is the environment.m.

Answer 1

[Drew Davis]

In your reset function and step function change:

LoggedSignal.State = {[Blocks];[Bintable]};

to

LoggedSignal.State = {[Blocks],[Bintable]};

The vertical cell array isn't concatenating nicely with another cell array as part of training.

Hope this helps

Drew