garage
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rlworkgroup
A toolkit for reproducible reinforcement learning research.
This is an umbrella issue, as this will be a large project. Overall outline format inspired by https://documentation.divio.com/ * [x] Installation * [x] Getting Started * [ ] Usage Guide...
Including tensorflow in docs/requirements.txt causes rtfd.io builders to run out of memory, so it's commented out. However, this results in sub-optimal documentation. Surely we're not the only ones with this...
Should provide pointers to intro resources for learning about RL before using garage * openai spinningup * Berkeley DeepRL course * David Silver course * Others?
This is a very frequent question. We should provide an example which satisfies 90% of use cases (e.g. gym.utils.EzPickle or equivalent.
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A toolkit for reproducible reinforcement learning research.