-
Notifications
You must be signed in to change notification settings - Fork 48
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Fix: issue 198 return metrics after initialisation of repertoires #203
Open
hannah-jan
wants to merge
14
commits into
adaptive-intelligent-robotics:develop
Choose a base branch
from
hannah-jan:fix/issue-198
base: develop
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Fix: issue 198 return metrics after initialisation of repertoires #203
hannah-jan
wants to merge
14
commits into
adaptive-intelligent-robotics:develop
from
hannah-jan:fix/issue-198
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Lookatator
requested changes
Oct 6, 2024
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks for the PR! 😃 It seems the init_metrics
are not used in the python notebooks. Do you think we should add them to the all_metrics
dictionary, and logged in the csv_logger
? (this way they would appear on the plot in the end)
Removing the following useless dependencies from requirements.txt: gym, ipython, jupyter
* 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).
…nt-robotics#187) - 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
…rtain domains (adaptive-intelligent-robotics#186) * feat: add reevaluation function to compute corrected archives in uncertain domains
…tive-intelligent-robotics#185) * change indexing to retrieve current fitness in intra batch comp Authored-by: Lisa <lc1021@ic.ac.uk>
…nt-robotics#200) * Move cmaes.py from core to baselines * Change corresponding api docs --------- Authored-by: Lisa <lc1021@ic.ac.uk>
…#195) * fix: Change to new-style-jax-rng-keys. --------- Co-authored-by: Milton Montero <lleramontero@gmail.com>
…ent-robotics#194) * fix: fix typos and add codespell pre-commit hook --------- Co-authored-by: Jeroen Van Goey <j.vangoey@instadeep.com>
…usage (adaptive-intelligent-robotics#190) * unify descriptor naming * Stop returning random keys * Rename all jax.tree_utils.tree_* into jax.tree.* * Remove Brax scoring function with init_states as arguments * Add AURORA to notebooks in README * Remove examples/scripts/ directory * Rename all arguments named "unused" by "_"
bfe2093
to
4759a5d
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Related issues: Issue #198
Return metrics after initialisation of repertoires.
This PR introduces: