Comments (2)
Hi @dosssman, yes, you can use this to generate the oracle trajectory for either AudioGoal or Semantic AudioGoal, although it uses information that is not accessible by a real navigation agent.
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Hello again.
Thank you very much for taking the time to check on this issues.
Just leaving this here for other people that might stumble upon this issue:
When I was trying to use that class, it would fail instantiating as done in the ppo_trainer.py
, it would throw and error along the lines of DummySimulator does not have '_path_finder' attribute
.
Workaround to get it working somehow, was to not use pre-rendered observations, by having config.TASK_CONFIG.SIMULATOR.USE_RENDERED_OBSERVATIONS = False
.
Another alternative I found to get optimal actions for an episode was to access envs.workers[0]._env._env._sim._oracle_actions
, which returns a list of actions that lead the agent to the goal location upon execution.
This method could even be used with USE_RENDERED_OBSERVATIONS
set to True
.
This was tested with the SAVI environment, whcih uses MP3D dataset. Not sure about Replica.
Thanks again for your time.
I would consider this issue closed.
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