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Running this MuZero implementation on an arbitrary gym environment is possible, but will require some code changes.
First, you would need to change make_env function in tools/agent.py to instantiate your environment of interest (currently this function is a bit NLE/Minihack specific).
Second, you would need to implement a state encoder for the observations in that environment, analogous to PerceiverNethackStateEncoder to replace the state encoder in NethackPerceiverMuZeroModel.
I think that should do the job, but you might stumble upon some other small quirks as this codebase has never been tested with environments incompatible with NLE.
Hi,
Congrats by this muzero implementation.
How can I run a gym environment using your code? It's possible?
Or need I to convert my environment to be nle compatible?
Thanks in advanced.
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