install_tutorial.txt

conda create --name imitation python=3.8


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# https://github.com/DLR-RM/rl-baselines3-zoo

pip install rl_zoo3

# inside rl-baselines3-zoo-master

apt-get install swig cmake ffmpeg
pip install -r requirements.txt


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# mujuco and mujoco_py install: https://docs.google.com/document/d/1eBvfKoczKmImUgoGMbqypODBXmI1bD91/edit


sudo apt install git # Step 2 : install git

Step 3 : install the mujoco library

# move the .mujoco folder # Step 3 : install the mujoco library

4. include these lines in  .bashrc file:

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/codysoccerman/.mujoco/mujoco210/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia
export PATH="$LD_LIBRARY_PATH:$PATH"
export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libGLEW.so

5. source .bashrc

6. Test that the library is installed by going into:
 		cd ~/.mujoco/mujoco210/bin
		./simulate ../model/humanoid.xml


Step 4 Install mujoco-py:
	conda create --name mujoco_py python=3.8
	conda activate mujoco_py
	sudo apt update
	sudo apt-get install patchelf
	sudo apt-get install python3-dev build-essential libssl-dev libffi-dev libxml2-dev  
	sudo apt-get install libxslt1-dev zlib1g-dev libglew1.5 libglew-dev python3-pip
	
	git clone https://github.com/openai/mujoco-py
	cd mujoco-py
	pip install -r requirements.txt
	pip install -r requirements.dev.txt

	pip install -e . --no-cache

Step 5 reboot your machine

Step 6 run these commands
	conda activate mujoco_py
	sudo apt install libosmesa6-dev libgl1-mesa-glx libglfw3
	sudo ln -s /usr/lib/x86_64-linux-gnu/libGL.so.1 /usr/lib/x86_64-linux-gnu/libGL.so
	cd
	cd examples
	python3 setting_state.py
	
	
	
	###############
	
apt-get install -y libgl1-mesa-dev libgl1-mesa-glx libglew-dev libosmesa6-dev software-properties-common patchelf xvfb


pip install gym==0.21.0
pip install free-mujoco-py
pip install transformers
pip install datasets
pip install imageio-ffmpeg

pip install colabgymrender==1.0.2
pip install xvfbwrapper
pip install imageio==2.4.1
pip install imageio-ffmpeg
pip install huggingface_hub


pip install sk-video