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From edbeeching/godot_rl_agents#23

@edbeeching I've been trying to implement the ONNX model to directly handle the agents, but it's a bit obscure.
I was actually able to relate the outputs from the model to the outputs from the checkpoint and training.

Godot recieves:setting action 4 content: {jump:0, move:[-0.965605], turn:[-1]}
ONNX outputs: {output:[1.830403, -1.823679, -0.965604, -2.522008, -1.960869, -2.00579], state_outs:[0]}

Godot recieves: setting action 7 content: {jump:1, move:[-1], turn:[0.057112]}
ONNX outputs: {output:[-0.059597, 0.059326, -1.319151, -1.642016, 0.057112, -1.164303], state_outs:[0]}

Godot recieves: setting action 9 content: {jump:0, move:[-0.582598], turn:[-0.251385]}
ONNX outputs: {output:[3.487688, -3.483186, -0.582597, -2.297049, -0.251385, -2.50098], state_outs:[0]}
The index 2 relates to move and index 4 relates to turn, but I can't wrap my head around the other values, question here is, what are the other values supposed to mean? Which one represents jump?

I'm not sure if the output is complete, but the results are deterministic and coherent so far, so maybe there's something I'm missing? Any advice would be appreciated

#1 Fixes it.