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Ran 11 Mar 2020 06:59PM UTC

Files 14

Run time 2s

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Committed 11 Mar 2020 06:48PM UTC coverage: 89.417% (-0.3%) from 89.708%

Job # 45.1

Build Type

push

travis-ci-com

Committed by

SwamyDev

Commit Message

Improve exploration logic of MADDPG agent

By allowing preheat steps which are completely random the agent can
observe a more diverse set of states. Otherwise it wouldn't see that
much because it tends to crash early on into a local minimum. With these
trajectories in the replay buffer it seems to be better abel to get out
of it again. Additionally I've added static noise to the training. This
should also help in exploring and getting the agent out of local minima.
For now I just use a fixed value.

Run Details

583 of 652 relevant lines covered (89.42%)

0.89 hits per line

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master: 99%

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SwamyDev / udacity-deep-rl-navigation / 45 / 1
99%
master: 99%

README BADGES
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