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PROTO
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PROTO
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# PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning ## How to run the code ### Install dependencies These are the same setup instructions as in [Implicit Q-Learning](https://github.com/ikostrikov/implicit_q_learning). ```bash pip install --upgrade pip pip install -r requirements.txt # Installs the wheel compatible with Cuda 11 and cudnn 8. pip install --upgrade "jax[cuda]>=0.2.27" -f https://storage.googleapis.com/jax-releases/jax_releases.html ``` Also, see other configurations for CUDA [here](https://github.com/google/jax#pip-installation-gpu-cuda). ### Example training code Locomotion ```bash bash 2online_mujoco.sh bash 2online_mujoco_td3.sh ``` AntMaze ```bash bash 2online_antmaze.sh bash 2online_antmaze_td3.sh ``` Adroit ```bash bash 2online_adroit.sh bash 2online_adroit_td3.sh ```
