IQL-PyTorch

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In the function return_range, the end of trajectory is marked by either the terminal signal or the time steps equals to max_episode_steps. However, as the dataset is extracted from D4RL's...

yaoliucs

 i was able to get close to/better than official results (i also made the cosine damped learning rate to work in 5000 steps)

endseeker

HzcIrving

Thanks for your work. Could your code behave well in Antmaze environments?

dljzx