from parl.utilsimportmachine_info,get_gpu_countclassMAAgent(parl.Agent):def__init__(self,algorithm,agent_index=None,obs_dim_n=None,act_dim_n=None,batch_size=None,speedup=False):assertisinstance(agent_index,int)assertisinstance(obs_dim_n,list)assertisinstance(act_dim_n,list)assertisinstance(ba...
Please set environment variable: `export CUDA_VISIBLE_DEVICES=[GPU_ID_TO_USE]` .'super(MAAgent, self).__init__(algorithm)# Attention: In the beginning, sync target model totally.self.alg.sync_target(decay=0)defbuild_program(self): self.pred_program = fluid.Program() self.learn_program ...
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Finally, for the MATD3 algorithm that uses twin critics, as the number of missiles increases, the complexity of training and maintaining more network parameters rises. Therefore, in situations with a larger number of agents, the simplicity and efficiency of MADDPG make it a better choice, as ...