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Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)
我从未见过如此美妙的GAIL代码!!!
Ich habe noch nie so wunderbare GAIL-Codes gesehen!!!
こんなに素敵なGAILコードを見たのは初めてです!!!
Я никогда раньше не видел таких замечательных кодов GAIL!!!!
Je n'ai jamais vu d'aussi merveilleux codes GAIL avant...
Nunca había visto unos códigos GAIL tan maravillosos!!!
Hello! Thank you for your contribution. But there are some problems when I used this code.
I can not reproduce the performance of this code which is shown in the README, for example the env HalfCheetah. I don't know what the problem is. Maybe because I can not download the expert trajectories data in the website in the README. So I used the code to generate expert data. At the same time, I do used the parameter you offered in the code without any change as default. However, the performace is not good (400 average for HalfCheetah whose expert scored 11k+). Could you please do me a favor to give me some suggestion to reproduce the performance? Thanks a lot!
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