Information
- Paper topic: Animation
- Software type: Code
- Able to run a replicability test: True
- Replicability score: 3
- License: MIT
- Build mechanism: Other script
- Dependencies: libeigen3-dev libassimp-dev libccd-dev libfcl-dev libboost-regex-dev libboost-system-dev libopenscenegraph-dev libbullet-dev liburdfdom-dev libnlopt-dev libxi-dev libxmu-dev freeglut3-dev libtinyxml2-dev swig tensorflow numpy dart pydart
- Documentation score {0,1,2}: 1
- Reviewer: Julie Digne
Source code information
Comments
All scripts are provided for reproducing the examples in the paper.
The dependencies can be easily installed using a script, but on ubuntu 19.10 I had to install libnlopt-cxx-dev.
The policy learning went well, but I was not able to produce the results of the paper, due to the failure of the test_policy function with error: Attempted to look up malformed environment ID: b'../data/precomp_data/dog_run1/policy_params.pkl'. (Currently all IDs must be of the form ^(?:[\w:-]+\/)?([\w:.-]+)-v(\d+)$.)
This occured also when testing the provided precomputed policies.
I also tried with an older release of dart-env (v0.7.4 - 2017) which seems to be handling registration but the same problem occured.
