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- This PR completes any previously missing PyTorch Model counterparts to TFModels in examples/models. - It also makes sure, all example scripts in the rllib/examples folder are tested for both frameworks and learn the given task (this is often currently not checked) using a --as-test flag in connection with a --stop-reward. |
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| .. | ||
| alpha_zero | ||
| bandits | ||
| maddpg | ||
| random_agent | ||
| __init__.py | ||
| README.rst | ||
| registry.py | ||
Contributed algorithms, which can be run via ``rllib train --run=contrib/<alg_name>`` See https://docs.ray.io/en/latest/rllib-dev.html for guidelines.