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* feat(algo): add DCG-MAP-Elites whose most recent version is called DCRL-ME (#167) * fix: Fix pareto dominance definition to account for solutions which have the same fitness values along one axis (#174) * docs(contribution): clarify contribution process (#171) * feat: Upgrade Library Versions and Python Version (#187) --------- Co-authored-by: Maxence Faldor <m.faldor22@imperial.ac.uk> Co-authored-by: Hannah Janmohamed <hannah.janmohamed21@imperial.ac.uk> Co-authored-by: Felix Chalumeau <f.chalumeau@instadeep.com>
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build: | ||
os: ubuntu-20.04 | ||
tools: | ||
python: "3.9" | ||
python: "3.10" | ||
apt_packages: | ||
- swig | ||
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# Descriptor-Conditioned Reinforcement Learning MAP-Elites (DCRL-ME) | ||
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To create an instance of DCRL-ME, one need to use an instance of [MAP-Elites](map_elites.md) with the `DCRLMEEmitter`, detailed below. | ||
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::: qdax.core.emitters.dcrl_me_emitter.DCRLMEEmitter |
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