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https://github.com/vale981/ray
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35 lines
892 B
Python
35 lines
892 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from ray.rllib.agents.trainer import with_common_config
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from ray.rllib.agents.trainer_template import build_trainer
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from ray.rllib.agents.pg.pg_policy import PGTFPolicy
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# yapf: disable
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# __sphinx_doc_begin__
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DEFAULT_CONFIG = with_common_config({
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# No remote workers by default
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"num_workers": 0,
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# Learning rate
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"lr": 0.0004,
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# Use PyTorch as backend
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"use_pytorch": False,
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})
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# __sphinx_doc_end__
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# yapf: enable
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def get_policy_class(config):
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if config["use_pytorch"]:
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from ray.rllib.agents.pg.torch_pg_policy import PGTorchPolicy
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return PGTorchPolicy
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else:
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return PGTFPolicy
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PGTrainer = build_trainer(
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name="PG",
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default_config=DEFAULT_CONFIG,
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default_policy=PGTFPolicy,
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get_policy_class=get_policy_class)
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