Comments (5)
Hi @MarcoMeter ,
We are about to release ML-Agents v0.10, this fixes a compatibility issue with 2019.2. At that point we'd like to upgrade both versions (Which also involves updating the obstacle-tower-env repo and uploading new builds to GCS). If you want to update your PR once v0.10 is released, I'll be happy to test it and merge it in.
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I just opened a new PR that updates to v0.10.0 and Unity v2019.2.8.
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Hey @awjuliani
Do you think updating ml-agents or Unity comes with performance gains concerning the simulation speed of Obstacle Tower?
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Hi @MarcoMeter
There may indeed be benefits from future versions of both. On the ML-Agents side there has been a fair amount of refactoring work which would likely lead to speed-ups. The rendering and physics on the Unity side are also always undergoing performance improvements each release, so there may be some benefit there as well. Unfortunately Obstacle Tower is currently in a maintenance state, rather than being actively developed. As such, I would be happy to take a look at PRs upgrading it, but can only devote time myself to active bugs.
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On the first sight, the environment runs slower if built with Unity 2019.3.5f.
This runs 10 seconds slower given a PPO algorithm that utilizes 16 environment instances where 256 steps are sampled from each agent during training. (Tested on Windows).
On the second sight, this performance drop cannot be observed on a Linux machine.
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Related Issues (12)
- Missing sokoban platform HOT 5
- Demonstrations in realtime mode can't retrace the path
- Replaying a demonstration from python fails to take the same path as the demo HOT 2
- Fireballs persist through floor resets HOT 3
- Chasing / fireball thrower bot walks through walls
- Shaders error in TV_Pattern.shadergrapg (TV_Pattern) HOT 2
- [issue] No protocol specified HOT 3
- Door does not render properly in Future Theme HOT 8
- Realtime mode renders only a black screen HOT 1
- NullReferenceException in Procedural with dev tools HOT 1
- Broken linux binary HOT 8
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