Must centralized trained groups of agents have the same action specification?

Hello:

numObservations = 4;
observationInfo = rlNumericSpec([numObservations 1],...
    'LowerLimit',[-inf -inf -inf -inf]',...
    'UpperLimit',[ inf  inf inf inf]');
observationInfo.Name = 'observations';
observationInfo.Description = 'force bias, position';
numActions1 = 1;
actionInfo1 = rlNumericSpec([1 1],...
    'LowerLimit',[0]',...
    'UpperLimit',[66]');
actionInfo1.Name = 'onlyb';
numActions2 = 1;
actionInfo2 = rlNumericSpec([1 1],...
    'LowerLimit',[0]',...
    'UpperLimit',[13]');
actionInfo2.Name = 'onlyK';
mdl = "ER3AC60A";
blks = ["ER3AC60A/RL AgentA", "ER3AC60A/RL AgentB"];
obsInfos = {observationInfo,observationInfo};
actInfos = {actionInfo1,actionInfo2};
env.ResetFcn = @(in)localResetFcn(in);
env = rlSimulinkEnv(mdl,blks, obsInfos,actInfos);
%行为克隆与探索平衡2.5是平衡
Ts = 0.001;
Tf = 1;
rng(0)

Must groups of agents using centralized training have the same output specification?

错误使用 rl.train.marl.util.validateMultiAgentTrainingOptions

Agents in group [1 2] must have the same observation and action specifications.