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[IROS 22'] Model-free Neural Lyapunov Control

Home Page: https://sites.google.com/view/mf-nlc

Python 99.97% Shell 0.03%
deep-reinforcement-learning lyapunov-functions pytorch stable-baselines3 neural-lyapunov-function goal-conditioned-rl safe-reinforcement-learning safe-reinforcement-learning-environments motion-planning path-planning

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mfnlc's Issues

some issues about render and training

Hi, first of all, thank you for the quality of your work, which has inspired me.

In my study of your code, I have encountered a few problems.

First, when I was testing my environment using test_envs.py, the test_render function in env.render() was working with the prompt "render() got an unexpected keyword argument ' follow'", when I delete follow, vertical, scale, it renders but the robot does not move. (gym=0.26, mujoco=2.10, mujoco_py=2.1.2.14). I don't know if you have encountered this or if you can provide me with the relevant package version so that I can solve this bug

Then, when I try to train using the code of the exps species, I get "/data/shrl/e2e/Nav/model.zip.zip'", which is probably because I didn't find the relevant file, I wonder if you could provide

Thanks a lot.

Does the repo use its own safetygym files?

Hi, thanks for the big contribution in safeRL field. There was mentioned that this repo doesnt contain safety_gym repo(also readme doesnt mention anything about it). So i downloaded it manually, but i have noticed files in
https://github.com/ZikangXiong/MFNLC/tree/master/mfnlc/envs

This is a modification of files from safety_gym repo(such as engine.py). Should i use these files in SafetyGym instead original one? What type of modification was made in these files, is it related only to env render, or maybe somehow change the robot models?

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