ray/rllib/agents/dqn/__init__.py
Sven Mika 22ccc43670
[RLlib] DQN torch version. (#7597)
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* Fix (SAC does currently not support eager).

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* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

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* Update rllib/utils/exploration/exploration.py

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

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* Working SimpleQ learning cartpole on both torch AND tf.

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* Update docs and add torch to APEX test.

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* Fix and docstrings.

* Fix broken RLlib tests in master.

* Split BAZEL learning tests into cartpole and pendulum (reached the 60min barrier).

* Fix error_outputs option in BAZEL for RLlib regression tests.

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* Tune param-noise tests.

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Co-authored-by: Eric Liang <ekhliang@gmail.com>
2020-04-06 11:56:16 -07:00

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Python

from ray.rllib.agents.dqn.apex import ApexTrainer
from ray.rllib.agents.dqn.dqn import DQNTrainer, DEFAULT_CONFIG
from ray.rllib.agents.dqn.simple_q import SimpleQTrainer, \
DEFAULT_CONFIG as SIMPLE_Q_DEFAULT_CONFIG
from ray.rllib.agents.dqn.simple_q_tf_policy import SimpleQTFPolicy
from ray.rllib.agents.dqn.simple_q_torch_policy import SimpleQTorchPolicy
__all__ = [
"ApexTrainer",
"DQNTrainer",
"DEFAULT_CONFIG",
"SIMPLE_Q_DEFAULT_CONFIG",
"SimpleQTFPolicy",
"SimpleQTorchPolicy",
"SimpleQTrainer",
]