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Release 0.4.0 #183
Release 0.4.0 #183
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* a new method for MAP-Elites repertoire, that enables to samples individuals with their corresponding descriptors. * a new output extra_info for Emitter.emit methods that is similar to the extra_scores of the scoring function, and that enables to pass information from the emit step to the state_update (necessary for DCG-MAP-Elites). * a new DCGTransition that add desc and desc_prime to the QDTransition. * descriptor-conditioned TD3 loss, descriptor-conditioned scoring functions, descriptor-conditioned MLP * two new reward wrappers to clip and offset the reward (necessary for DCG-MAP-Elites).
Fixes the definition of Pareto dominance in pareto_front.py to account for solutions which have the same fitness values along one axis.
- moving to Python 3.10 - Upgrade all library versions in requirements.txt and setup.py - Remove DM-Haiku cause it is now deprecated. - all networks now are based on a single MLP class - jax.tree_map has been replaced with jax.tree_util.tree_map everywhere to avoid Deprecation Warnings. - types -> custom_types - add extra_require for jax[cuda12] - fix all notebooks and update typing extensions (for running notebooks) - fix dependabot security issues - added instructions for pip install qdax[cuda12] in README - fix observation space in jumanji test script
Codecov ReportAttention: Patch coverage is
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## main #183 +/- ##
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- Coverage 92.30% 92.26% -0.04%
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Files 125 128 +3
Lines 7485 8007 +522
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+ Hits 6909 7388 +479
- Misses 576 619 +43 ☔ View full report in Codecov by Sentry. |
This PR introduces:
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