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Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)
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!
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!!!
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