jetson-reinforcement
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dusty-nv
xavier support?
this whole setup doesn't work on Xavier. it generates random errors. I was able to make and run all the examples on Jetson TX2. What is the recommended setup procedure on xavier?
Same here, none of this is working on the Xavier. I understand this is all bleeding edge stuff, but it would be awesome if you could make your installs hardware independent! Otherwise this will not scale at all. Thanks!
ngreedia must update their software to match their hardware.
2020-06-08 3:01 GMT+03:00, ugorski [email protected]:
This does not work on Xavier NX either. Any plan to revise?
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The issue stems from versions of PyTorch newer than 0.3 breaking backwards compatibility, so the RL algorithm doesnt work on newer versions. I don't personally plan to update it, but I do keep jetson-inference updated. Since I made this example tutorial there have been more comprehensive RL libraries released - for example see:
https://discourse.ros.org/t/a-toolkit-for-reinforcement-learning-using-ros-and-gazebo/442
https://spinningup.openai.com/en/latest/
The issue stems from versions of PyTorch newer than 0.3 breaking backwards compatibility, so the RL algorithm doesnt work on newer versions. I don't personally plan to update it, but I do keep jetson-inference updated. Since I made this example tutorial there have been more comprehensive RL libraries released - for example see:
https://discourse.ros.org/t/a-toolkit-for-reinforcement-learning-using-ros-and-gazebo/442
https://spinningup.openai.com/en/latest/
PERFECT! Thanks a lot for the links. I will take a look.