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Ray 3.0.0.dev0
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Ray RLlib
Getting Started with RLlib
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Ray RLlib API
Algorithms
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Policy API
ray.rllib.policy.policy.Policy
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2
ray.rllib.policy.torch_policy_v2.TorchPolicyV2
ray.rllib.policy.Policy.make_rl_module
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.make_model
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.make_model_and_action_dist
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.make_model
ray.rllib.policy.policy.Policy.compute_actions
ray.rllib.policy.policy.Policy.compute_actions_from_input_dict
ray.rllib.policy.policy.Policy.compute_single_action
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.action_sampler_fn
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.action_distribution_fn
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.extra_action_out
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.action_sampler_fn
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.action_distribution_fn
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.extra_action_out_fn
ray.rllib.policy.Policy.compute_gradients
ray.rllib.policy.Policy.apply_gradients
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.extra_compute_grad_fetches
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.extra_grad_process
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.grad_stats_fn
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.compute_gradients_fn
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.apply_gradients_fn
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.extra_learn_fetches_fn
ray.rllib.policy.Policy.learn_on_batch
ray.rllib.policy.Policy.load_batch_into_buffer
ray.rllib.policy.Policy.learn_on_loaded_batch
ray.rllib.policy.Policy.learn_on_batch_from_replay_buffer
ray.rllib.policy.Policy.get_num_samples_loaded_into_buffer
ray.rllib.policy.Policy.loss
ray.rllib.policy.Policy.compute_log_likelihoods
ray.rllib.policy.Policy.on_global_var_update
ray.rllib.policy.Policy.postprocess_trajectory
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.optimizer
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.get_tower_stats
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.optimizer
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.stats_fn
ray.rllib.policy.Policy.from_checkpoint
ray.rllib.policy.Policy.export_checkpoint
ray.rllib.policy.Policy.export_model
ray.rllib.policy.Policy.from_state
ray.rllib.policy.Policy.get_weights
ray.rllib.policy.Policy.set_weights
ray.rllib.policy.Policy.get_state
ray.rllib.policy.Policy.set_state
ray.rllib.policy.Policy.import_model_from_h5
ray.rllib.policy.Policy.reset_connectors
ray.rllib.policy.Policy.restore_connectors
ray.rllib.policy.Policy.get_connector_metrics
ray.rllib.Policy.get_initial_state
ray.rllib.Policy.num_state_tensors
ray.rllib.Policy.is_recurrent
ray.rllib.policy.Policy.apply
ray.rllib.policy.Policy.get_session
ray.rllib.policy.Policy.init_view_requirements
ray.rllib.policy.Policy.get_host
ray.rllib.policy.Policy.get_exploration_state
ray.rllib.policy.torch_policy_v2.TorchPolicyV2.get_batch_divisibility_req
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.variables
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.get_batch_divisibility_req
Model APIs
Catalog API
RLModule API
Learner API
Sampling the Environment or offline data
Replay Buffer API
RLlib Utilities
External Application API
More Libraries
Ray Clusters
Monitoring and Debugging
References
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.rst
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ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.optimizer
ray.rllib.policy.eager_tf_policy_v2.EagerTFPolicyV2.optimizer
#
EagerTFPolicyV2.
optimizer
(
)
→
Union
[
tensorflow.keras.optimizers.Optimizer
,
List
[
tensorflow.keras.optimizers.Optimizer
]
]
[source]
#
TF optimizer to use for policy optimization.
Returns
A local optimizer or a list of local optimizers to use for this
Policy’s Model.