Comments (2)
@akmandor You are right that for parallelized environments, as it's implemented in sb3, it's bottlenecked by the slowest environment. It's typically not an issue if all environment steps take approximately the same amount of time (hence there is no real bottleneck). Some other RL packages (non-stable baselines 3) might provide such functionality but I am not entirely sure. Since this is not technically an issue with iGibson but rather RL framework parallelization, I will close the issue for now. Feel free to re-open if you need additional help! Thanks!
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Thank you so much for clarifying the issue for me. I might take a look to other available RL libraries, such as RAY's RL-Lib to solve that training bottleneck.
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Related Issues (20)
- update pybind11 for newer Python compatibility
- How to know the roomtype in iGibson dataset? HOT 1
- iGibson 1.0: Instance Segmentation (ins_seg) HOT 1
- citation in BEHAVIOR DATA BUNDLE END USER LICENSE AGREEMENT HOT 1
- Unable to pass tests with official docker containers(igibson/igibson:lates,igibson/igibson-vnc:v2.0.6) HOT 3
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- Error when loading scenes
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- ImportError: cannot import name 'tinyobjloader' from 'igibson.render.mesh_renderer' HOT 1
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- iGibsonRayEnv and ParallelEnv difference
- Building wheel for igibson (pyproject.toml) ... error HOT 13
- ERROR: Failed to EGL with glad. HOT 1
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- ModuleNotFoundError: No module named 'bddl.activity_base'
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