Comments (2)
Yup, you're right. There might be other dependencies as well in the environment.yaml that are not necessarily needed by the sac algorithm. The environment.yml was started as a copy of rllabs environment.yml file due to complications with the rllab installation, and is left unpruned until a better way of installing rllab dependency is found.
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I have finally removed this dependency along with some other deps.
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Related Issues (20)
- Hyperparameter Advice HOT 2
- paper/code conflict: using minimum Q in policy gradient HOT 1
- Dependency issue while building docker
- Stupid issue HOT 1
- could there be a problem with the initialization of GaussianPolicy ?
- for discrete env HOT 3
- Reward scale HOT 1
- How to run DIAYN on softlearning repo ? HOT 2
- Docker Image won't create due to conda's environment.yml inconsistencies
- what is "sandbox" HOT 2
- a mathematical problem .. HOT 1
- Inquiries about the benchmark results HOT 1
- maximization bias HOT 1
- About markovian environments HOT 4
- The comprehension of the policy limitations in SAC HOT 1
- Double Q for DIAYN HOT 5
- potential recursive call in get_actions(self, observations) from sac/policies/gmm.py HOT 1
- DIAYN result reproduction & additional charts
- TD3 vs SAC
- Why sac is off policy?
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