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@@ -195,7 +195,7 @@ 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 Pendulum-v0 \
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--run APEX_DDPG \
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--ray-num-cpus 8
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--ray-num-cpus 8 \
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--stop '{"training_iteration": 2}' \
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--config '{"num_workers": 2, "optimizer": {"num_replay_buffer_shards": 1}, "learning_starts": 100}'
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