Warn if using offline data buffer without Agent wrapper#1771
Warn if using offline data buffer without Agent wrapper#1771QuantuMope wants to merge 3 commits intopytorchfrom
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alf/algorithms/sac_algorithm.py
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| action, action_distribution): | ||
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| if isinstance(rollout_info, BasicRolloutInfo): | ||
| rollout_info = rollout_info.rl |
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This should be put outside of this function. The general principle is, the algorithm should always receive what it's supposed to receive. In this case, this means that the rollout_info passed in should already be SacInfo.
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This should be put outside of this function. The general principle is, the algorithm should always receive what it's supposed to receive. In this case, this means that the rollout_info passed in should already be SacInfo.
+1
alf/algorithms/sac_algorithm.py
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| if isinstance(rollout_info, BasicRolloutInfo): | ||
| rollout_info = rollout_info.rl | ||
| state: SacCriticState, | ||
| rollout_info: SacInfo | BasicRLInfo, action, |
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Still should always be SacInfo? If it's BasicRLInfo, the algorithm will crash.
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Offline buffer data is stored as BasicRLInfo which comprises of just (s,a,r) data.
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I guess, I could convert BasicRLInfo into SacInfo with some fields empty? Not sure which is a better design. Lmk which one you think is cleaner and I can change.
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Offline buffer data is stored as
BasicRLInfowhich comprises of just (s,a,r) data.
If you look at SAC's train_step(), it will get access to rollout_info.repr. This means that SAC is currently incompatible with offline training.
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I'm using a frozen encoder so not training a repr.
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Wait, it seems that repr is stored in BasicRolloutInfo. Not sure how this code was running then. I'll take a look
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It's using elastic_namedtuple so any missing field returns (). Anyway, a little weird but it works.
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Ideally, we should not include BasicRLInfo here as it could confuse the pure sac users. The better alternative might be comply with the Agent assumption and possibly extend it.
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Removed typehints. Also added a warning message advising users to use Agent. Before the code would simply crash due to interface conflict.
QuantuMope
changed the title
| logging.WARNING, | ||
| "Detected offline buffer training without Agent wrapper. " | ||
| "For best compatibility, it is advised to use the Agent wrapper.", | ||
| n=1) |
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This warning won't work. When using Agent, we still get rollout_info as BasicRolloutInfo.
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It will. When using Agent, it properly feeds the nested BasicRLInfo to this function instead.
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In other words, there was never a bug with hybrid RL training, just that it was never meant to be used without using Agent.
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It will. When using
Agent, it properly feeds the nestedBasicRLInfoto this function instead.
you're right. I didn't know Agent overwrites this function itself.
4 participants
This PR now warns users if they are using the offline data buffer without the
Agentwrapper.