from __future__ import absolute_import from __future__ import division from __future__ import print_function from ray.rllib.policy.policy import Policy from ray.rllib.utils import renamed_class PolicyGraph = renamed_class(Policy, old_name="PolicyGraph")
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.agents.dqn.apex import ApexTrainer
from ray.rllib.agents.dqn.dqn import DQNTrainer, DEFAULT_CONFIG
from ray.rllib.utils import renamed_class
DQNAgent = renamed_class(DQNTrainer)
ApexAgent = renamed_class(ApexTrainer)
__all__ = [
"DQNAgent", "ApexAgent", "ApexTrainer", "DQNTrainer", "DEFAULT_CONFIG"
]
from ray.rllib.policy.tf_policy import TFPolicy from ray.rllib.utils import renamed_class TFPolicyGraph = renamed_class(TFPolicy, old_name="TFPolicyGraph")
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch
from ray.rllib.utils import renamed_class
SampleBatch = renamed_class(SampleBatch,
old_name="rllib.evaluation.SampleBatch")
MultiAgentBatch = renamed_class(MultiAgentBatch,
old_name="rllib.evaluation.MultiAgentBatch")
from ray.rllib.agents.ppo.ppo import PPOTrainer, DEFAULT_CONFIG from ray.rllib.agents.ppo.appo import APPOTrainer from ray.rllib.utils import renamed_class PPOAgent = renamed_class(PPOTrainer) __all__ = ["PPOAgent", "APPOTrainer", "PPOTrainer", "DEFAULT_CONFIG"]
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.utils import renamed_class
from ray.rllib.evaluation import RolloutWorker
PolicyEvaluator = renamed_class(
RolloutWorker, old_name="rllib.evaluation.PolicyEvaluator")
from ray.rllib.agents.a3c.a3c import A3CTrainer, DEFAULT_CONFIG
from ray.rllib.agents.a3c.a2c import A2CTrainer
from ray.rllib.utils import renamed_class
A2CAgent = renamed_class(A2CTrainer)
A3CAgent = renamed_class(A3CTrainer)
__all__ = [
"A2CAgent", "A3CAgent", "A2CTrainer", "A3CTrainer", "DEFAULT_CONFIG"
]
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.agents.ddpg.apex import ApexDDPGTrainer
from ray.rllib.agents.ddpg.ddpg import DDPGTrainer, DEFAULT_CONFIG
from ray.rllib.utils import renamed_class
ApexDDPGAgent = renamed_class(ApexDDPGTrainer)
DDPGAgent = renamed_class(DDPGTrainer)
__all__ = [
"DDPGAgent", "ApexDDPGAgent", "DDPGTrainer", "ApexDDPGTrainer",
"DEFAULT_CONFIG"
]
from ray.rllib.agents.pg.pg import PGTrainer, DEFAULT_CONFIG from ray.rllib.utils import renamed_class PGAgent = renamed_class(PGTrainer) __all__ = ["PGAgent", "PGTrainer", "DEFAULT_CONFIG"]
from ray.rllib.agents.impala.impala import ImpalaTrainer, DEFAULT_CONFIG from ray.rllib.utils import renamed_class ImpalaAgent = renamed_class(ImpalaTrainer) __all__ = ["ImpalaAgent", "ImpalaTrainer", "DEFAULT_CONFIG"]
from ray.rllib.agents.ars.ars import (ARSTrainer, DEFAULT_CONFIG) from ray.rllib.utils import renamed_class ARSAgent = renamed_class(ARSTrainer) __all__ = ["ARSAgent", "ARSTrainer", "DEFAULT_CONFIG"]
from ray.rllib.agents.es.es import (ESTrainer, DEFAULT_CONFIG) from ray.rllib.utils import renamed_class ESAgent = renamed_class(ESTrainer) __all__ = ["ESAgent", "ESTrainer", "DEFAULT_CONFIG"]
from __future__ import absolute_import from __future__ import division from __future__ import print_function from ray.rllib.agents.trainer import Trainer from ray.rllib.utils import renamed_class Agent = renamed_class(Trainer)
from ray.rllib.policy.torch_policy import TorchPolicy from ray.rllib.utils import renamed_class TorchPolicyGraph = renamed_class(TorchPolicy, old_name="TorchPolicyGraph")
