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lattice's Issues

Question on reproducing results in the elbow pose task

Hi, thanks for sharing your code. Recently, I am trying to reproduce your result in your paper. But I got different results. Could you give me some insights?

I didn't modify any code, just ran the following commands

  • State-independent Lattice freq=1
docker run --rm --gpus all -it \ 
--mount type=bind,src="$(pwd)/src",target=/src \
--mount type=bind,src="$(pwd)/data",target=/data \ 
--mount type=bind,src="$(pwd)/output",target=/output \ 
albertochiappa/myo-cuda-pybullet \
python3 src/main_pose_elbow.py --use_lattice
  • non-sde exploration
docker run --rm --gpus all -it \ 
--mount type=bind,src="$(pwd)/src",target=/src \
--mount type=bind,src="$(pwd)/data",target=/data \ 
--mount type=bind,src="$(pwd)/output",target=/output \ 
albertochiappa/myo-cuda-pybullet \
python3 src/main_pose_elbow.py
  • State-dependent Lattice freq=1
docker run --rm --gpus all -it \ 
--mount type=bind,src="$(pwd)/src",target=/src \
--mount type=bind,src="$(pwd)/data",target=/data \ 
--mount type=bind,src="$(pwd)/output",target=/output \ 
albertochiappa/myo-cuda-pybullet \
python3 src/main_pose_elbow.py  --use_lattice --use_sde
  • State-dependent Lattice freq=1 init_log_std=1
docker run --rm --gpus all -it \ 
--mount type=bind,src="$(pwd)/src",target=/src \
--mount type=bind,src="$(pwd)/data",target=/data \ 
--mount type=bind,src="$(pwd)/output",target=/output \ 
albertochiappa/myo-cuda-pybullet \
python3 src/main_pose_elbow.py  --use_lattice --use_sde --init_log_std=1

and here is the result I got.

image

So, my question is:

  1. Some commands in your Readme don't open the --use_sde flag, so should I open the flag if I want to reproduce the result in your paper?
  2. The default args are different from your paper, which args I should use? such as the init_log_std in main_pose_elbow.py.

Comment on the Conda installation

I managed to install the conda environment on a remote Ubuntu 20.04.6 LTS server without root access (sudo), based on the provided instructions.
But I met two additional issues not mentioned in the instructions.
I list them here in case someone meets the same problem.

  1. Cannot install the mjrl repo with git in conda.
    Solution: install git through conda install, see the discussion here: https://stackoverflow.com/a/76234380

  2. Trouble with the MuJoCo installation, because of having no root access.
    Solution: follow the instructions in these links:
    openai/mujoco-py#627
    openai/mujoco-py#96 (comment)
    openai/mujoco-py#635

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