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HumanCompatibleAI / adversarial-policies

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

Migrate to CircleCI #40

Closed AdamGleave closed 4 years ago

AdamGleave commented 4 years ago
codecov[bot] commented 4 years ago

Codecov Report

Merging #40 into master will decrease coverage by 0.05%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #40      +/-   ##
==========================================
- Coverage   61.88%   61.82%   -0.06%     
==========================================
  Files          56       56              
  Lines        5244     5257      +13     
==========================================
+ Hits         3245     3250       +5     
- Misses       1999     2007       +8
Impacted Files Coverage Δ
tests/test_agents.py 98.97% <ø> (ø) :arrow_up:
src/aprl/activations/tsne/fit_model.py 56.36% <100%> (+1.22%) :arrow_up:
src/aprl/envs/observation_masking.py 73.68% <100%> (ø) :arrow_up:
src/aprl/activations/density/fit_density.py 45.81% <100%> (+0.61%) :arrow_up:
src/aprl/envs/gym_compete.py 97.22% <100%> (ø) :arrow_up:
tests/test_experiments.py 97.89% <100%> (+0.11%) :arrow_up:
src/aprl/multi/common.py 73% <100%> (+0.83%) :arrow_up:
src/aprl/training/embedded_agents.py 91.8% <0%> (-3.28%) :arrow_down:
src/aprl/training/lookback.py 75.86% <0%> (-1.98%) :arrow_down:
src/aprl/train.py 87.01% <0%> (-1.06%) :arrow_down:
... and 1 more

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