DeepMimic: example-guided deep reinforcement learning of physics-based character skills

Information

• Paper topic: Animation and Simulation
• Software type: Code
• Able to run a replicability test: True
• Replicability score: 5
• Paper listed in the Graphics Replicability Stamp Initiative
• Software language: C/C++, Python
• License: MIT
• Build mechanism: Makefile, Not applicable (python, Matlab..)
• Dependencies: libbullet/eigen3/opengl/freeglut/glew/swig/openmpi/tensorflow
• Documentation score {0,1,2}: 1
• Reviewer: Julie Digne <julie.digne@liris.cnrs.fr>
• Time spent for the test (build->first run, timeout at 100min): 30min

Source code information

• Code URL: https://github.com/xbpeng/DeepMimic
• Git commit hash: a458f1e1da928d04ef1434bb53b97264d53f4102
• Software Heritage link:

Comments

I was able to run and visualize pretrained policies + learned a policy training "humanoid3d_spinkick_args.txt

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