search

HumanCompatibleAI / adversarial-policies

Find best-response to a fixed policy in multi-agent RL
MIT License
275 stars 47 forks source link

Update Docker+CI: free MuJoCo key, modern version of Ray + pytype #58

Closed AdamGleave closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #58 (beda980) into master (bba910b) will increase coverage by 0.20%. The diff coverage is 50.00%.

@@            Coverage Diff             @@
##           master      #58      +/-   ##
==========================================
+ Coverage   61.89%   62.10%   +0.20%     
==========================================
  Files          58       58              
  Lines        5438     5438              
==========================================
+ Hits         3366     3377      +11     
+ Misses       2072     2061      -11
Impacted Files Coverage Δ
src/aprl/configs/multi/train.py 17.31% <0.00%> (ø)
tests/test_experiments.py 100.00% <100.00%> (ø)
src/aprl/visualize/annotated_gym_compete.py 90.90% <0.00%> (+0.69%) :arrow_up:
src/aprl/training/lookback.py 79.31% <0.00%> (+3.44%) :arrow_up:
src/aprl/common/mujoco.py 92.00% <0.00%> (+12.00%) :arrow_up:

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update bba910b...beda980. Read the comment docs.