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007208d2bb
to support TF version < 1.5 to support rmsprop optimizer in Impala Before TF1.5, tf.reduce_sum() and tf.reduce_max() has an argument keep_dims which has been renamed as keepdims in later versions. In the original paper of Impala, they use rmsprop algorithm to optimize the model. We'd better also support it so that users can reproduce their experiments. Without any tuning, say that using the same hyper-parameters as AdamOptimizer, it reaches "episode_reward_mean": 19.083333333333332 in Pong after consume 3,610,350 samples. |
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| _build | ||
| source | ||
| make.bat | ||
| Makefile | ||
| README.md | ||
| requirements-doc.txt | ||
Ray Documentation
To compile the documentation, run the following commands from this directory. Note that Ray must be installed first.
pip install -r requirements-doc.txt
make html
open _build/html/index.html
To test if there are any build errors with the documentation, do the following.
sphinx-build -W -b html -d _build/doctrees source _build/html