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[rllib] Registry fix for DQN Replay Evaluators (#1593)
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@@ -153,6 +153,13 @@ docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
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# --stop '{"training_iteration": 2}' \
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# --config '{"num_workers": 2, "use_lstm": false, "use_pytorch": true, "model": {"grayscale": true, "zero_mean": false, "dim": 80, "channel_major": true}}'
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docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/train.py \
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--env CartPole-v0 \
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--run DQN \
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--stop '{"training_iteration": 2}' \
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--config '{"num_workers": 2}'
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docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/train.py \
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--env CartPole-v0 \
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