Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Last update: Dec 2, 2021

Overview

advantage-weighted-regression

Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning, by Peng et al. (2019) (https://arxiv.org/abs/1910.00177).

Uses the rlberry library.

Setup:

conda create -n awr python=3.8
conda activate awr
pip install gym[all]
pip install git+https://github.com/rlberry-py/[email protected]#egg=rlberry[torch_agents]
pip install tensorboard

Optional:

conda install -c conda-forge jupyterlab

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Owner

Omar D. Domingues

GitHub

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Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Related tags

Overview

advantage-weighted-regression

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Owner

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