v0.4.0

Updates and New Functionalities

• Add DCRL-ME algorithm - #167
• Upgrade Library Versions and Python Version - #187

Bug Fixes

• Fix the Pareto Dominance definition to account for solutions which have the same fitness values along one axis. - #174

Breaking Changes

• qdax/types.py has been renamed to qdax/custom_types.py
• Emitter.emit has a new output extra_info 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 DCRL-ME).
• Emitter.init now also takes as input a repertoire, as well as fitnesses, descriptors and extra_scores.
• init_genotypes have been replaced with genotypes in the arguments of Emitter.init

Documentation

• Clarify contribution process - #171

Full Changelog: v0.3.0...v0.4.0

v0.3.0

What's Changed

• Uniform sac network sizes, by @limbryan in #145
• Remove singularity tools and update haiku version, by @limbryan in #147
• Add MAP-Elites Low-Spread, by @btjanaka in #152
• Add MAP-Elites Low-Spread (#152), by @Lookatator in #154
• Fix spelling errors, by @btjanaka in #150
• Use brax.v1 and update requirements, by @DBraun in #156
• Add sampling extractors, by @manon-but-yes in #158
• Update the paper to cite, by @felixchalumeau in #161
• Fix dependencies in requirements.txt and setup.py, by @Lookatator in #165
• Fix imports jumpy and formatting issues, by @Lookatator in #163
• Add AURORA and PGA-AURORA, by @felixchalumeau in #144
• Fixing colab link in CMA-ME notebook, by @felixchalumeau in #172

New Contributors

• @btjanaka made their first contribution in #152
• @DBraun made their first contribution in #156

Full Changelog: v0.2.3...v0.3.0

v0.2.3

What's changed

• Fix dependencies in notebook examples

v0.2.2

V0.2.2

What's Changed

• minimal support for jumanji #136
• PBT and PBT-ME #143
• Humanoid Trap #143

Full Changelog: v0.2.1...v0.2.2

v0.2.1

Small release to fix a dependency that was preventing the installation of qdax through pypi. The issue was related to scikit-learn installation. See #130

v0.2.0

Moving to v0.2.0 with several new algorithms, fixes of current implementations, a whole new set of tasks, a more general API and some dependencies update to stay in phase with the Jax community 🚀 ⏩ ⏩

• fix(envs): order of wrappers to ensure update of state descriptor when using fixed init state (#128)
• fix(doc): add colab links, missing doc, update version (#125)
• feat!(repertoire): optional extra-scores for repertoire addition (#118)
• fix(jit): avoid consecutive jits of same method in for loops (#122)
• fix(docker): fix run-image docker stage (#121)
• feat(algorithms): add MAP-Elites distributed on multiple devices (#117)
• fix(test): inverse fitness and desc names in sampling test (#119)
• feat(github): add GitHub template for PR (#120)
• feat(algorithms): add QDPG emitter + refactor PGAME (#110)
• feat(algorithms): add CMA-ME, fix CMA-ES and CMA-MEGA (#86)
• fix(mees): add batch size property (#114)
• feat(algorithms): Add Multi-Emitter (#90)
• fix: reset_based scoring in brax_env default task (#109)
• feat(algorithms): add ME-ES to QDax (#81)
• fix(examples): brax version in colab examples (#108)
• fix(docs): avoid using flax 0.6.2 in setup (#112)
• feat(envs): wrapper for fixed initial state of environments (#92)
• fix(style): mypy issue in controller training
• fix: optimizer state reinitialization for PG variations (#104)
• fix: add update policy delay in PG emitter
• fix(pointmaze): scale after the clip of actions (#101)
• hotfix(images): re-add deleted logos to the repo
• docs: add caveats and logo (#99)
• feat: Default Scoring Functions for Sphere, Rastrigin, Arm, Brax environments, Hypervolume functions and QD Suite (#73)
• chore: Update jax, brax and flax versions (fixes the jax.tree_util warnings) (#76)
• doc: Add remark for installing QDax with GPU support in README (#77)
• fix the replay buffer overflow issue (#75)
• fix: correct irrelevant factor 0.25 in td3 loss (#78)

We also welcome a new contributor: @maxencefaldor 👏

Well done to all the team for this new release 🎉 👩‍💻 👨‍💻 (@manon-but-yes @Lookatator @limbryan @ranzenTom @Aneoshun @Egiob @valentinmace @maxiallard @felixchalumeau)

v0.1.0

Finally moving to version 0.1.0 of QDax with several algorithms additions, new tools, enhanced documentation and several fixes 🚀

• Update notebooks to run on colab and update chex version (#61)
• Pin brax version + remove autoreload (#60)”
• Enhance the current documentation + gather baselines in separate folder (#57)
• Add example notebook for NSGA2 and SPEA2 (#58)
• Add API documentation, use README as home page (#56)
• Add NSGA2 and SPEA2 to QDax (#33)
• Add reset_based_scoring_function for stochastic environments (#31)
• Issue with batch size 1 (#52)
• Add colab badges to all example notebooks (#53)
• Add codecov to QDax for test coverage reports (#39)
• Update singularity pipeline and fix pre-commits (#45)
• Add plot_multidimensional_map_elites_grid function (#47)
• Extend functionality of compute_euclidean_centroids (#40)
• Repertoire addition for 1d bd (map elites and mome) (#41)
• Static argnames in _sample_in_masked_pareto_front (#49)
• Update ci trigger rules (#48)
• Use rngkey for centroids generation
• Run workflow on pull requests
• Use RNGKey for sampling CVT centroids and for KMeans
• Fix mome emitter state update
• Add MOME to QDax (#27)
• Fix steps incrementation in pointmaze (#36)
• Upgrade requirements for numpy and jax (#34)
• Add CMA MEGA (#25) - (API change!)
• Add SMERL (DIAYN+DADS) (#22)
• Add DADS (#21)
• Add OMG-MEGA (#24)
• Add DIAYN (#20) and refactor SAC
• Add SAC algorithm (#16)
• Add TD3 algorithm (#14)
• Fix issue in behavior descriptor evaluation (#13)