Comments (3)
I think this is weird, too.
agent.memory.append(
observation,
agent.select_action(observation),
0., False
)
Also, done is set to False is this tuple, which is more perplexing.
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Having said so, I think this would probably have a negligible effect in terms of learning, given that the replay buffer is so big, but I think it's good for the author to check on this @ghliu .
from pytorch-ddpg.
In Buffer's code,I guess the terminal state can be used to divide transitions from each episodes,in terms this,I think maybe it‘s a bug.
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Related Issues (11)
- Index error in ddpg.py? HOT 1
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- train signature typo HOT 1
- Why MountainCarContinuous-v0 will converge to 0 ? HOT 2
- error in compute target q values HOT 2
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