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[RLlib] Trajectory view API: enable by default for ES and ARS #11826

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sven1977
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@sven1977 sven1977 commented Nov 5, 2020

This PR is based on #11747 (which needs to be merged first!)

It enables the trajectory view API by default for: ES and ARS (on tf, tfe, tf2, and torch).

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  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
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    • This PR is not tested :(

@sven1977 sven1977 changed the title [WIP RLlib] Trajectory view API: enable by default for ES and ARS [RLlib] Trajectory view API: enable by default for ES and ARS Nov 11, 2020
…ectory_view_api_enable_by_default_for_some_tf
… trajectory_view_api_enable_by_default_for_es_and_ars
…ectory_view_api_enable_by_default_for_es_and_ars

� Conflicts:
�	rllib/agents/maml/maml_torch_policy.py
�	rllib/execution/train_ops.py
@@ -327,7 +327,7 @@ def cleanup(self):

@override(Trainer)
def compute_action(self, observation, *args, **kwargs):
action, _, _ = self.policy.compute_actions(observation, update=True)
action, _, _ = self.policy.compute_actions([observation], update=True)
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This behavior now matches the one of a "normal" Trainer's compute_action method: Pass a single obs in, then the method converts this into a 1-batch and calls the policy's compute_actions method.

@ericl ericl merged commit 0bd69ed into ray-project:master Nov 12, 2020
@sven1977 sven1977 deleted the trajectory_view_api_enable_by_default_for_es_and_ars branch June 2, 2023 20:12
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2 participants