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Hi @takuseno, I was wondering how to return the logits (estimated Q values for each action) of CQL model (or any other Q based learners).
Cheers, Many thanks for your help in advance,
The text was updated successfully, but these errors were encountered:
@ajam74001 Thanks for the issue. Unfortunately, there is no function by default. But, you can do it by accessing to internal objects:
# just example # dqn needs to be built before this. dqn = d3rlpy.algos.DQN() dqn.impl.q_function(torch.rand((1, 10)))
Sorry, something went wrong.
Great! Many thanks for the response, dear @takuseno.
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Hi @takuseno, I was wondering how to return the logits (estimated Q values for each action) of CQL model (or any other Q based learners).
Cheers,
Many thanks for your help in advance,
The text was updated successfully, but these errors were encountered: