Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arxiv.org/abs/1710.10044).
pip3 install gym, torch, numpy, tabulate, pandas
Joint work with Mikhail Konobeev. Of course, do not forget to cite Distributional Reinforcement Learning with Quantile Regression (https://arxiv.org/abs/1710.10044).
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Hello.
I have noticed that when loss is calculated there is detach() statement on diff:
loss = huber(diff) * (tau - (diff.detach() < 0).float()).abs()
could you please explain the reason?
Thanks a lot.
Firstly, I run the rl_utils.py and it generate a qr-dqn-solution-cool.ipynb file. When I try to run the code in ipython notebook, the following error occured. Is there something wrong?
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self.print = prin
^
SyntaxError: invalid syntax
Hi, would you like to share the code for the img you used in gif format for each steps. It's a cool work, I would like to learn this, can you please share the code if possible.
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