Closed Yuanzizizi closed 2 years ago
Multiagent-training differentiates CADRL from our policy. The former takes one human during training and ours takes 5 during training. At test time, both are tested on 5-human scenario.
Multiagent-training differentiates CADRL from our policy. The former takes one human during training and ours takes 5 during training. At test time, both are tested on 5-human scenario.
Oh, I see❤. Thanks. But what makes the difference? I suppose that, In theory, cadrl could also have five people in training stage?
yeah possibly. I was just reproducing the training detailed in the paper
Excuse me.
I'm confused about the human_num in crowd_sim.py. Why should we set human_num = 1 when self.robot.policy.multiagent_training = 1?
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` what I want to know is In training stage, do we use 1 human agent or 5 human agents (env.config [sim] human_num=5)?
I really need your help, thanks~