Mix action channels are not supported in DDPG

My action space is mixed. Except one, all variables are continuous. So, I have defined the action apace as shown in the code below for a DDPG agent. But I get the error as shown in the attached image.

actInfoCont = rlNumericSpec([255 1],"UpperLimit",1,"LowerLimit",0); % (0 to 1 probabilistic mask)
actInfoDIsc = rlFiniteSetSpec([0 3.141592654]);
actInfo = [actInfoCont actInfoDIsc];

Answer 1

[Ayush Aniket]

Hi Sania,

Currently, Reinforcement Learning Toolbox does not support mixed action spaces. As an alternative you could consider training two agents, one for the continuous action and another for the discrete. Refer to the following MATLAB Answer: https://www.mathworks.com/matlabcentral/answers/2015776-reinforcement-learning-agent-for-mixed-action-space

[Sania Gul]

tnk u sooooooooooo mch :-)