google-deepmind
Feature: parallel environment
Hi!
I have implemented a new feature. It is an environment which handles many instances of HanabiState running in parallel for one instance of HanabiGame.
The main benefits of this approach is that it
- avoids the overhead of having several games
- is easily parallelized on the level of individual states
- the vectorized observations, scores, etc. are efficiently exposed using
numpyarrays.
As an example, I am developing a hanabi multi-agent framework based on this implementation.
I thought it might be useful for other people as well, so I decided to open this PR.
Cheers, Anton
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