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rlworkgroup / garage / 2848 / 1
65%
master: 64%

Build:
Build:
LAST BUILD BRANCH: release-2018.10
DEFAULT BRANCH: master
Ran 16 Oct 2018 10:41AM UTC
Files 207
Run time 668min
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16 Oct 2018 10:27AM UTC coverage: 55.505% (-3.5%) from 58.98%
2848.1

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travis-ci-com

CatherineSue
Add miscellaneous changes

 - Make the replay buffer base class garage.replay_buffer.ReplayBuffer
abstract. Rename the regular replay buffer to SimpleReplayBuffer.
 - Delete enums and pass ReplayBuffer class into algorithm. Now use can
construct a replay buffer by their own.
 - Move `configure_dims` and `dims_to_shapes` into replay buffer
constructor. Delete `env.reset()` in configure_dims. Notice the reason
that we need to use `env.step()` because it's the only way to get
env_info in gym.GoalEnv. And the env_info is used to compute reward in
`env.compute_reward`. But the source code in gym shows that the env_info
is not actually used when computing reward. So we can not store info in
transitions.
 - Set default value for optimizer params in DDPG.
 - Remove commented code.

WIP:
 - Redesign reuse in ContinuousMLPPolicy.
 - Redesign OffPolicyBatchPolopt.
 - Add docstrings.
 - Add unittest for pickling policy and qf.

7320 of 13188 relevant lines covered (55.51%)

0.56 hits per line

Source Files on job 2848.1
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  • Coverage Changed 110
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