code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
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import tensorflow as tf
import numpy as np
from rl_coach.architectures.tensorflow_components.heads import QHead
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.base_parameters import AgentParameters
from rl_coach.spaces import SpacesDefinition
class CategoricalQHead(QHead):
d... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/categorical_q_head.py | 0.885786 | 0.367951 | categorical_q_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.q_head import QHead
from rl_coach.base_parameters import AgentParameters
from rl_coach.memories.non_episodic import differentiable_neural_dictionary
from rl_coach.spaces... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/dnd_q_head.py | 0.845209 | 0.378028 | dnd_q_head.py | pypi |
import numpy as np
import tensorflow as tf
from tensorflow.python.ops.losses.losses_impl import Reduction
from rl_coach.architectures.tensorflow_components.layers import Dense, convert_layer_class
from rl_coach.base_parameters import AgentParameters
from rl_coach.spaces import SpacesDefinition
from rl_coach.utils impo... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/head.py | 0.903272 | 0.46132 | head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import ActionProbabilities
from rl_coach.spaces import DiscreteActionSpac... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/acer_policy_head.py | 0.894141 | 0.337558 | acer_policy_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import batchnorm_activation_dropout, Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import ActionProbabilities
from rl_coach.sp... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/ddpg_actor_head.py | 0.901496 | 0.274676 | ddpg_actor_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import Measurements
from rl_coach.spaces import SpacesDefinition
class ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/measurements_prediction_head.py | 0.903543 | 0.402568 | measurements_prediction_head.py | pypi |
import tensorflow as tf
import numpy as np
from rl_coach.architectures.tensorflow_components.heads import QHead
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.base_parameters import AgentParameters
from rl_coach.spaces import SpacesDefinition
class RainbowQHead(QHead):
def __... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/rainbow_q_head.py | 0.899351 | 0.368207 | rainbow_q_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import ActionProbabilities
from rl_coach.... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/ppo_v_head.py | 0.890485 | 0.274899 | ppo_v_head.py | pypi |
import tensorflow as tf
import numpy as np
from rl_coach.architectures.tensorflow_components.heads import QHead
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.base_parameters import AgentParameters
from rl_coach.spaces import SpacesDefinition
class QuantileRegressionQHead(QHead):... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/quantile_regression_q_head.py | 0.910398 | 0.541045 | quantile_regression_q_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import QActionStateValue
from rl_coach.spaces import SpacesDefinition, Bo... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/q_head.py | 0.892668 | 0.270673 | q_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import VStateValue
from rl_coach.spaces i... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/td3_v_head.py | 0.869008 | 0.284511 | td3_v_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import QActionStateValue
from rl_coach.spaces import SpacesDefinition, Bo... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/cil_head.py | 0.838812 | 0.245571 | cil_head.py | pypi |
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import batchnorm_activation_dropout, Dense
from rl_coach.architectures.tensorflow_components.heads.head import Head
from rl_coach.base_parameters import AgentParameters
from rl_coach.core_types import Embedding
from rl_coach.spaces import... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/architectures/tensorflow_components/heads/wolpertinger_actor_head.py | 0.814348 | 0.234461 | wolpertinger_actor_head.py | pypi |
import os
from abc import ABC, abstractmethod
import threading
import pickle
import redis
import numpy as np
from rl_coach.utils import get_latest_checkpoint
class SharedRunningStatsSubscribe(threading.Thread):
def __init__(self, shared_running_stats):
super().__init__()
self.shared_running_stats... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/utilities/shared_running_stats.py | 0.789923 | 0.217379 | shared_running_stats.py | pypi |
import os
import numpy as np
from rl_coach.core_types import RewardType
from rl_coach.filters.reward.reward_filter import RewardFilter
from rl_coach.spaces import RewardSpace
from rl_coach.utilities.shared_running_stats import NumpySharedRunningStats
class RewardNormalizationFilter(RewardFilter):
"""
Normal... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/reward/reward_normalization_filter.py | 0.806319 | 0.414662 | reward_normalization_filter.py | pypi |
import os
import numpy as np
import pickle
from rl_coach.core_types import RewardType
from rl_coach.filters.reward.reward_filter import RewardFilter
from rl_coach.spaces import RewardSpace
from rl_coach.utils import get_latest_checkpoint
class RewardEwmaNormalizationFilter(RewardFilter):
"""
Normalizes the ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/reward/reward_ewma_normalization_filter.py | 0.770637 | 0.310838 | reward_ewma_normalization_filter.py | pypi |
from typing import Union
import numpy as np
from rl_coach.core_types import ActionType
from rl_coach.filters.action.action_filter import ActionFilter
from rl_coach.spaces import BoxActionSpace
class BoxMasking(ActionFilter):
"""
Masks part of the action space to enforce the agent to work in a defined space... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/box_masking.py | 0.93281 | 0.70808 | box_masking.py | pypi |
from rl_coach.core_types import ActionType
from rl_coach.filters.filter import Filter
from rl_coach.spaces import ActionSpace
class ActionFilter(Filter):
def __init__(self, input_action_space: ActionSpace=None):
self.input_action_space = input_action_space
self.output_action_space = None
... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/action_filter.py | 0.822653 | 0.531757 | action_filter.py | pypi |
from typing import Union
import numpy as np
from rl_coach.core_types import ActionType
from rl_coach.filters.action.action_filter import ActionFilter
from rl_coach.spaces import BoxActionSpace
class LinearBoxToBoxMap(ActionFilter):
"""
A linear mapping of two box action spaces. For example, if the action s... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/linear_box_to_box_map.py | 0.940865 | 0.67145 | linear_box_to_box_map.py | pypi |
from typing import List
from rl_coach.core_types import ActionType
from rl_coach.filters.action.action_filter import ActionFilter
from rl_coach.spaces import DiscreteActionSpace, ActionSpace
class PartialDiscreteActionSpaceMap(ActionFilter):
"""
Partial map of two countable action spaces. For example, consi... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/partial_discrete_action_space_map.py | 0.881672 | 0.534309 | partial_discrete_action_space_map.py | pypi |
from typing import Union, List
import numpy as np
from rl_coach.filters.action.box_discretization import BoxDiscretization
from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
from rl_coach.spaces import AttentionActionSpace, BoxActionSpace, DiscreteActionSpace
class ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/attention_discretization.py | 0.850779 | 0.607576 | attention_discretization.py | pypi |
from itertools import product
from typing import Union, List
import numpy as np
from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
from rl_coach.spaces import BoxActionSpace, DiscreteActionSpace
class BoxDiscretization(PartialDiscreteActionSpaceMap):
"""
Dis... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/action/box_discretization.py | 0.847684 | 0.660864 | box_discretization.py | pypi |
import copy
from collections import deque
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace, VectorObservationSpace
class LazyStack(object):
"""
A lazy version of np.s... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_stacking_filter.py | 0.898674 | 0.691172 | observation_stacking_filter.py | pypi |
from skimage.transform import resize
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace
class ObservationRescaleSizeByFactorFilter(ObservationFilter):
"""
Rescales an image observation by... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_rescale_size_by_factor_filter.py | 0.815122 | 0.735452 | observation_rescale_size_by_factor_filter.py | pypi |
import copy
from skimage.transform import resize
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace, ImageObservationSpace
class ObservationRescaleTo... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_rescale_to_size_filter.py | 0.866189 | 0.70374 | observation_rescale_to_size_filter.py | pypi |
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace
class ObservationMoveAxisFilter(ObservationFilter):
"""
Reorders the axes of the observati... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_move_axis_filter.py | 0.856647 | 0.677047 | observation_move_axis_filter.py | pypi |
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace
class ObservationToUInt8Filter(ObservationFilter):
"""
Converts a floating point observation into an unsigned int 8 bi... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_to_uint8_filter.py | 0.891699 | 0.72167 | observation_to_uint8_filter.py | pypi |
import copy
from enum import Enum
from typing import List
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace, VectorObservationSpace
class ObservationReductionBySubPartsNameFilt... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_reduction_by_sub_parts_name_filter.py | 0.937196 | 0.57529 | observation_reduction_by_sub_parts_name_filter.py | pypi |
from typing import Union, Tuple
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace
class ObservationCropFilter(ObservationFilter):
"""
Crops the size of the observation ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_crop_filter.py | 0.936605 | 0.777638 | observation_crop_filter.py | pypi |
import os
import pickle
from typing import List
import numpy as np
from rl_coach.core_types import ObservationType
from rl_coach.filters.observation.observation_filter import ObservationFilter
from rl_coach.spaces import ObservationSpace
from rl_coach.utilities.shared_running_stats import NumpySharedRunningStats, Num... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/filters/observation/observation_normalization_filter.py | 0.918567 | 0.487795 | observation_normalization_filter.py | pypi |
import time
import os
from rl_coach.checkpoint import CheckpointStateReader
from rl_coach.data_stores.data_store import SyncFiles
class CheckpointDataStore(object):
"""
A DataStore which relies on the GraphManager check pointing methods to communicate policies.
"""
def __init__(self, *args, **kwargs)... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/data_stores/checkpoint_data_store.py | 0.465873 | 0.236461 | checkpoint_data_store.py | pypi |
import uuid
from rl_coach.data_stores.data_store import DataStoreParameters
from rl_coach.data_stores.checkpoint_data_store import CheckpointDataStore
class NFSDataStoreParameters(DataStoreParameters):
def __init__(self, ds_params, deployed=False, server=None, path=None, checkpoint_dir: str=""):
super(... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/data_stores/nfs_data_store.py | 0.541409 | 0.150809 | nfs_data_store.py | pypi |
import copy
from typing import Union
from collections import OrderedDict
import numpy as np
from rl_coach.agents.agent import Agent
from rl_coach.agents.ddpg_agent import DDPGAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import DDPGAc... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/td3_agent.py | 0.893959 | 0.360883 | td3_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import ACERPolicyHeadParameters, QHeadParameters
from rl_coach.architectu... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/acer_agent.py | 0.925424 | 0.474266 | acer_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import NAFHeadParameters
from rl_coach.architectures.middleware_parameters... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/naf_agent.py | 0.901252 | 0.275934 | naf_agent.py | pypi |
from typing import Union
from rl_coach.agents.imitation_agent import ImitationAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import RegressionHeadParameters
from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/cil_agent.py | 0.927601 | 0.283546 | cil_agent.py | pypi |
import copy
from typing import Union
from collections import OrderedDict
import numpy as np
from rl_coach.agents.actor_critic_agent import ActorCriticAgent
from rl_coach.agents.agent import Agent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameter... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/ddpg_agent.py | 0.894787 | 0.344636 | ddpg_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.ddpg_agent import DDPGAgent, DDPGAgentParameters, DDPGAlgorithmParameters
from rl_coach.core_types import RunPhase
from rl_coach.spaces import SpacesDefinition
class HACDDPGAlgorithmParameters(DDPGAlgorithmParameters):
"""
:param time_limit: ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/hac_ddpg_agent.py | 0.735737 | 0.487673 | hac_ddpg_agent.py | pypi |
import os
import pickle
from typing import Union, List
import numpy as np
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import DNDQHeadParameters
from rl_coach.arch... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/nec_agent.py | 0.903955 | 0.383786 | nec_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent, PolicyGradientRescaler
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import PolicyHeadParameters
from rl_coach.archit... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/policy_gradients_agent.py | 0.950365 | 0.443058 | policy_gradients_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_paramet... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/n_step_q_agent.py | 0.924947 | 0.416678 | n_step_q_agent.py | pypi |
from typing import Union, List, Dict
import numpy as np
from rl_coach.core_types import EnvResponse, ActionInfo, RunPhase, PredictionType, ActionType, Transition
from rl_coach.saver import SaverCollection
class AgentInterface(object):
def __init__(self):
self._phase = RunPhase.HEATUP
self._pare... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/agent_interface.py | 0.932538 | 0.649064 | agent_interface.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNAlgorithmParameters
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
class PALAlgo... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/pal_agent.py | 0.909963 | 0.464719 | pal_agent.py | pypi |
from typing import Union
import numpy as np
from rl_coach.agents.dqn_agent import DQNNetworkParameters, DQNAgentParameters
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.exploration_policies.bootstrapped import BootstrappedParameters
class BootstrappedDQNNetworkParameters... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/bootstrapped_dqn_agent.py | 0.895651 | 0.238972 | bootstrapped_dqn_agent.py | pypi |
from copy import copy
from typing import Union
import numpy as np
from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNNetworkParameters, DQNAlgorithmParameters
from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
from rl_coach.architectures.head_parameters import QuantileRegressionQHea... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/qr_dqn_agent.py | 0.932829 | 0.532911 | qr_dqn_agent.py | pypi |
import copy
from collections import OrderedDict
from typing import Union
import numpy as np
from rl_coach.agents.actor_critic_agent import ActorCriticAgent
from rl_coach.agents.policy_optimization_agent import PolicyGradientRescaler
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from ... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/ppo_agent.py | 0.9415 | 0.441914 | ppo_agent.py | pypi |
from typing import Union
import numpy as np
import scipy.signal
from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent, PolicyGradientRescaler
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.head_parameters import PolicyHeadParameters,... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/agents/actor_critic_agent.py | 0.935568 | 0.480052 | actor_critic_agent.py | pypi |
import redis
import pickle
import uuid
import time
from rl_coach.memories.backend.memory import MemoryBackend, MemoryBackendParameters
from rl_coach.core_types import Transition, Episode, EnvironmentSteps, EnvironmentEpisodes
class RedisPubSubMemoryBackendParameters(MemoryBackendParameters):
def __init__(self... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/memories/backend/redis.py | 0.680348 | 0.165189 | redis.py | pypi |
import os
import pickle
import numpy as np
try:
import annoy
from annoy import AnnoyIndex
except ImportError:
from rl_coach.logger import failed_imports
failed_imports.append("annoy")
class AnnoyDictionary(object):
def __init__(self, dict_size, key_width, new_value_shift_coefficient=0.1, batch_s... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/memories/non_episodic/differentiable_neural_dictionary.py | 0.566498 | 0.233499 | differentiable_neural_dictionary.py | pypi |
import operator
import random
from enum import Enum
from typing import List, Tuple, Any, Union
import numpy as np
from rl_coach.core_types import Transition
from rl_coach.memories.memory import MemoryGranularity
from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters, ExperienceReplay... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/memories/non_episodic/balanced_experience_replay.py | 0.864368 | 0.439326 | balanced_experience_replay.py | pypi |
import operator
import random
from enum import Enum
from typing import List, Tuple, Any
import numpy as np
from rl_coach.core_types import Transition
from rl_coach.memories.memory import MemoryGranularity
from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters, ExperienceReplay
from r... | /rl-coach-slim-1.0.1.tar.gz/rl-coach-slim-1.0.1/rl_coach/memories/non_episodic/prioritized_experience_replay.py | 0.912799 | 0.472379 | prioritized_experience_replay.py | pypi |
# Coach
[](https://circleci.com/gh/NervanaSystems/workflows/coach/tree/master)
[](https://github.com/NervanaSystems/coach/blob/master/LICENSE)
[:
"""
ABC for saver objects that implement saving/restoring to/from path, and merging two savers.
"""
@property
def path(self):
"""
Relative path for save/load. If two saver objects return the same path, they must be merge-able.... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/saver.py | 0.875268 | 0.393414 | saver.py | pypi |
import argparse
import os
import matplotlib
import matplotlib.pyplot as plt
from rl_coach.dashboard_components.signals_file import SignalsFile
class FigureMaker(object):
def __init__(self, path, cols, smoothness, signal_to_plot, x_axis, color):
self.experiments_path = path
self.environments = s... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/plot_atari.py | 0.639961 | 0.397588 | plot_atari.py | pypi |
import inspect
import json
import os
import sys
import types
from collections import OrderedDict
from enum import Enum
from typing import Dict, List, Union
from rl_coach.core_types import TrainingSteps, EnvironmentSteps, GradientClippingMethod, RunPhase, \
SelectedPhaseOnlyDumpFilter, MaxDumpFilter
from rl_coach.f... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/base_parameters.py | 0.590425 | 0.199932 | base_parameters.py | pypi |
import numpy as np
import contextlib
with contextlib.redirect_stdout(None):
import pygame
from pygame.locals import HWSURFACE, DOUBLEBUF
class Renderer(object):
def __init__(self):
self.size = (1, 1)
self.screen = None
self.clock = pygame.time.Clock()
self.display = pygame.dis... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/renderer.py | 0.689096 | 0.4575 | renderer.py | pypi |
import time
import os
from rl_coach.base_parameters import TaskParameters, DistributedCoachSynchronizationType
from rl_coach.checkpoint import CheckpointStateFile, CheckpointStateReader
from rl_coach.data_stores.data_store import SyncFiles
def wait_for(wait_func, data_store=None, timeout=10):
"""
block until... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/rollout_worker.py | 0.422624 | 0.166303 | rollout_worker.py | pypi |
from typing import List, Tuple
import numpy as np
from rl_coach.core_types import EnvironmentSteps
class Schedule(object):
def __init__(self, initial_value: float):
self.initial_value = initial_value
self.current_value = initial_value
def step(self):
raise NotImplementedError("")
... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/schedules.py | 0.938365 | 0.623893 | schedules.py | pypi |
import copy
import datetime
import os
import sys
import time
from itertools import cycle
from os import listdir
from os.path import isfile, join, isdir
from bokeh.layouts import row, column, Spacer, ToolbarBox
from bokeh.models import ColumnDataSource, Range1d, LinearAxis, Legend, \
WheelZoomTool, CrosshairTool,... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/dashboard_components/experiment_board.py | 0.40486 | 0.214527 | experiment_board.py | pypi |
from bokeh.layouts import row, column, widgetbox, Spacer
from bokeh.models import ColumnDataSource, Range1d, LinearAxis, Legend
from bokeh.models.widgets import RadioButtonGroup, MultiSelect, Button, Select, Slider, Div, CheckboxGroup, Toggle
from bokeh.plotting import figure
from rl_coach.dashboard_components.global... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/dashboard_components/episodic_board.py | 0.669205 | 0.369287 | episodic_board.py | pypi |
from collections import OrderedDict
import os
from genericpath import isdir, isfile
from os import listdir
from os.path import join
from enum import Enum
from bokeh.models import Div
from bokeh.plotting import curdoc
import tkinter as tk
from tkinter import filedialog
import colorsys
from rl_coach.core_types import T... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/dashboard_components/globals.py | 0.449151 | 0.179387 | globals.py | pypi |
import random
import numpy as np
from bokeh.models import ColumnDataSource
from bokeh.palettes import Dark2
from rl_coach.dashboard_components.globals import show_spinner, hide_spinner, current_color
from rl_coach.utils import squeeze_list
class Signal:
def __init__(self, name, parent, plot):
self.name... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/dashboard_components/signals.py | 0.507812 | 0.202778 | signals.py | pypi |
from typing import List
import numpy as np
from rl_coach.core_types import RunPhase, ActionType, EnvironmentSteps
from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
from rl_coach.exploration_policies.explorati... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/ucb.py | 0.940599 | 0.547162 | ucb.py | pypi |
from typing import List
import numpy as np
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.exploration_policy import DiscreteActionExplorationPolicy, ExplorationParameters
from rl_coach.schedules import Schedule
from rl_coach.spaces import ActionSpace
class BoltzmannParamete... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/boltzmann.py | 0.918521 | 0.525978 | boltzmann.py | pypi |
from typing import List
import numpy as np
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
from rl_coach.exploration_policies.exploration_policy import E... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/bootstrapped.py | 0.932584 | 0.577972 | bootstrapped.py | pypi |
from typing import List
from rl_coach.base_parameters import Parameters
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.spaces import ActionSpace, DiscreteActionSpace, BoxActionSpace, GoalsSpace
class ExplorationParameters(Parameters):
def __init__(self):
self.action_space = None
... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/exploration_policy.py | 0.91633 | 0.568655 | exploration_policy.py | pypi |
from typing import List
import numpy as np
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.exploration_policy import ContinuousActionExplorationPolicy, ExplorationParameters
from rl_coach.spaces import ActionSpace, BoxActionSpace, GoalsSpace
# Based on on the description in:... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/ou_process.py | 0.905989 | 0.403332 | ou_process.py | pypi |
from typing import List
import numpy as np
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.exploration_policy import ContinuousActionExplorationPolicy, ExplorationParameters
from rl_coach.schedules import Schedule, LinearSchedule
from rl_coach.spaces import ActionSpace, BoxAct... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/additive_noise.py | 0.6508 | 0.612049 | additive_noise.py | pypi |
from typing import List, Dict
import numpy as np
from rl_coach.architectures.layers import NoisyNetDense
from rl_coach.base_parameters import AgentParameters, NetworkParameters
from rl_coach.spaces import ActionSpace, BoxActionSpace, DiscreteActionSpace
from rl_coach.core_types import ActionType
from rl_coach.explo... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/parameter_noise.py | 0.946886 | 0.576125 | parameter_noise.py | pypi |
from typing import List
import numpy as np
from scipy.stats import truncnorm
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.exploration_policy import ExplorationParameters, ContinuousActionExplorationPolicy
from rl_coach.schedules import Schedule, LinearSchedule
from rl_coach... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/exploration_policies/truncated_normal.py | 0.927593 | 0.637313 | truncated_normal.py | pypi |
from enum import Enum
from typing import Union, List
import numpy as np
from rl_coach.filters.observation.observation_move_axis_filter import ObservationMoveAxisFilter
try:
from pysc2 import maps
from pysc2.env import sc2_env
from pysc2.env import available_actions_printer
from pysc2.lib import act... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/starcraft2_environment.py | 0.810629 | 0.387111 | starcraft2_environment.py | pypi |
import random
from enum import Enum
from typing import Union
import numpy as np
try:
from dm_control import suite
from dm_control.suite.wrappers import pixels
except ImportError:
from rl_coach.logger import failed_imports
failed_imports.append("DeepMind Control Suite")
from rl_coach.base_parameter... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/control_suite_environment.py | 0.892217 | 0.541833 | control_suite_environment.py | pypi |
from typing import Union, Dict
from rl_coach.core_types import ActionType, EnvResponse, RunPhase
from rl_coach.spaces import ActionSpace
class EnvironmentInterface(object):
def __init__(self):
self._phase = RunPhase.UNDEFINED
@property
def phase(self) -> RunPhase:
"""
Get the ph... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/environment_interface.py | 0.926968 | 0.414899 | environment_interface.py | pypi |
import os
import gym
import numpy as np
from gym import spaces
from gym.envs.registration import EnvSpec
from mujoco_py import load_model_from_path, MjSim, MjViewer, MjRenderContextOffscreen
class PendulumWithGoals(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'], 'video.frames_per_second':... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/mujoco/pendulum_with_goals.py | 0.641198 | 0.317413 | pendulum_with_goals.py | pypi |
import random
import gym
import numpy as np
from gym import spaces
class BitFlip(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'], 'video.frames_per_second': 30
}
def __init__(self, bit_length=16, max_steps=None, mean_zero=False):
super(BitFlip, self).__init__()
if ... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/toy_problems/bit_flip.py | 0.712232 | 0.38604 | bit_flip.py | pypi |
from enum import Enum
import gym
import numpy as np
from gym import spaces
class ExplorationChain(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'], 'video.frames_per_second': 30
}
class ObservationType(Enum):
OneHot = 0
Therm = 1
def __init__(self, chain_length... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/environments/toy_problems/exploration_chain.py | 0.868172 | 0.521837 | exploration_chain.py | pypi |
from typing import Tuple, List
from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, \
PresetValidationParameters
from rl_coach.environments.environment import EnvironmentParameters, Environment
from rl_coach.filters.filter import NoInputFilter, NoOutputFilter
from rl_coach... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/graph_managers/basic_rl_graph_manager.py | 0.698535 | 0.343424 | basic_rl_graph_manager.py | pypi |
from typing import List, Union, Tuple
from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, \
PresetValidationParameters
from rl_coach.core_types import EnvironmentSteps
from rl_coach.environments.environment import EnvironmentParameters, Environment
from rl_coach.graph_man... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/graph_managers/hac_graph_manager.py | 0.893491 | 0.590366 | hac_graph_manager.py | pypi |
from typing import List, Type, Union
from rl_coach.base_parameters import MiddlewareScheme, NetworkComponentParameters
class MiddlewareParameters(NetworkComponentParameters):
def __init__(self, parameterized_class_name: str,
activation_function: str='relu', scheme: Union[List, MiddlewareScheme]... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/middleware_parameters.py | 0.917168 | 0.209066 | middleware_parameters.py | pypi |
from typing import Any, Dict, List, Tuple
import numpy as np
from rl_coach.base_parameters import AgentParameters
from rl_coach.saver import SaverCollection
from rl_coach.spaces import SpacesDefinition
class Architecture(object):
@staticmethod
def construct(variable_scope: str, devices: List[str], *args, *... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/architecture.py | 0.96606 | 0.664282 | architecture.py | pypi |
from typing import Type
from rl_coach.base_parameters import NetworkComponentParameters
class HeadParameters(NetworkComponentParameters):
def __init__(self, parameterized_class_name: str, activation_function: str = 'relu', name: str= 'head',
num_output_head_copies: int=1, rescale_gradient_from_... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/head_parameters.py | 0.947308 | 0.25303 | head_parameters.py | pypi |
from typing import List, Tuple
from rl_coach.base_parameters import Frameworks, AgentParameters
from rl_coach.logger import failed_imports
from rl_coach.saver import SaverCollection
from rl_coach.spaces import SpacesDefinition
from rl_coach.utils import force_list
class NetworkWrapper(object):
"""
The netwo... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/network_wrapper.py | 0.934492 | 0.364297 | network_wrapper.py | pypi |
from types import FunctionType
from mxnet.gluon import nn
from rl_coach.architectures import layers
from rl_coach.architectures.mxnet_components import utils
# define global dictionary for storing layer type to layer implementation mapping
mx_layer_dict = dict()
def reg_to_mx(layer_type) -> FunctionType:
""" ... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/layers.py | 0.946057 | 0.473657 | layers.py | pypi |
import copy
from typing import Any, Dict, Generator, List, Tuple, Union
import numpy as np
import mxnet as mx
from mxnet import autograd, gluon, nd
from mxnet.ndarray import NDArray
from rl_coach.architectures.architecture import Architecture
from rl_coach.architectures.mxnet_components.heads.head import LOSS_OUT_TY... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/architecture.py | 0.858748 | 0.272617 | architecture.py | pypi |
from typing import Any, List, Tuple
from mxnet import gluon, sym
from mxnet.contrib import onnx as onnx_mxnet
import numpy as np
from rl_coach.architectures.mxnet_components.utils import ScopedOnnxEnable
from rl_coach.saver import Saver
class ParameterDictSaver(Saver):
"""
Child class that implements save... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/savers.py | 0.908303 | 0.350199 | savers.py | pypi |
import copy
from itertools import chain
from typing import List, Tuple, Union
from types import ModuleType
import numpy as np
import mxnet as mx
from mxnet import nd, sym
from mxnet.gluon import HybridBlock
from mxnet.ndarray import NDArray
from mxnet.symbol import Symbol
from rl_coach.base_parameters import Network... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/general_network.py | 0.86421 | 0.246851 | general_network.py | pypi |
import inspect
from typing import Any, Dict, Generator, Iterable, List, Tuple, Union
from types import ModuleType
import mxnet as mx
from mxnet import gluon, nd
from mxnet.ndarray import NDArray
import numpy as np
from rl_coach.core_types import GradientClippingMethod
nd_sym_type = Union[mx.nd.NDArray, mx.sym.Symbol... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/utils.py | 0.924628 | 0.547827 | utils.py | pypi |
from typing import Union
from types import ModuleType
import mxnet as mx
from mxnet.gluon import rnn
from rl_coach.architectures.mxnet_components.layers import Dense
from rl_coach.architectures.mxnet_components.middlewares.middleware import Middleware
from rl_coach.architectures.middleware_parameters import LSTMMiddle... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/middlewares/lstm_middleware.py | 0.948131 | 0.350477 | lstm_middleware.py | pypi |
from typing import Union
from types import ModuleType
import mxnet as mx
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.mxnet_components.embedders.embedder import InputEmbedder
nd_sym_type = Union[mx.nd.NDArray, mx.sym.Symbol]
class TensorEmbedder(InputEmb... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/embedders/tensor_embedder.py | 0.9504 | 0.507019 | tensor_embedder.py | pypi |
from typing import Union
from types import ModuleType
import mxnet as mx
from mxnet import nd, sym
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.mxnet_components.embedders.embedder import InputEmbedder
from rl_coach.architectures.mxnet_components.layers impo... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/embedders/vector_embedder.py | 0.94388 | 0.418756 | vector_embedder.py | pypi |
from typing import Union
from types import ModuleType
import mxnet as mx
from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
from rl_coach.architectures.mxnet_components.embedders.embedder import InputEmbedder
from rl_coach.architectures.mxnet_components.layers import Conv2d
from rl_coach.ba... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/embedders/image_embedder.py | 0.96738 | 0.46308 | image_embedder.py | pypi |
from typing import Union, List, Tuple
from types import ModuleType
import mxnet as mx
from mxnet.gluon.loss import Loss, HuberLoss, L2Loss
from mxnet.gluon import nn
from rl_coach.architectures.mxnet_components.heads.head import Head, HeadLoss, LossInputSchema,\
NormalizedRSSInitializer
from rl_coach.architecture... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/heads/v_head.py | 0.976389 | 0.445288 | v_head.py | pypi |
from typing import Dict, List, Union, Tuple
import mxnet as mx
from mxnet.initializer import Initializer, register
from mxnet.gluon import nn, loss
from mxnet.ndarray import NDArray
from mxnet.symbol import Symbol
from rl_coach.base_parameters import AgentParameters
from rl_coach.spaces import SpacesDefinition
LOS... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/heads/head.py | 0.960915 | 0.573081 | head.py | pypi |
from typing import List, Tuple, Union
from types import ModuleType
import mxnet as mx
from mxnet.gluon import nn
from rl_coach.architectures.mxnet_components.heads.head import Head, HeadLoss, LossInputSchema,\
NormalizedRSSInitializer
from rl_coach.architectures.mxnet_components.heads.head import LOSS_OUT_TYPE_L... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/heads/ppo_v_head.py | 0.971252 | 0.489015 | ppo_v_head.py | pypi |
from typing import Union, List, Tuple
from types import ModuleType
import mxnet as mx
from mxnet.gluon.loss import Loss, HuberLoss, L2Loss
from mxnet.gluon import nn
from rl_coach.architectures.mxnet_components.heads.head import Head, HeadLoss, LossInputSchema
from rl_coach.architectures.mxnet_components.heads.head ... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/mxnet_components/heads/q_head.py | 0.974893 | 0.45308 | q_head.py | pypi |
from typing import Tuple
import tensorflow as tf
def create_cluster_spec(parameters_server: str, workers: str) -> tf.train.ClusterSpec:
"""
Creates a ClusterSpec object representing the cluster.
:param parameters_server: comma-separated list of hostname:port pairs to which the parameter servers are assi... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/tensorflow_components/distributed_tf_utils.py | 0.93739 | 0.62134 | distributed_tf_utils.py | pypi |
import math
from types import FunctionType
import tensorflow as tf
from rl_coach.architectures import layers
from rl_coach.architectures.tensorflow_components import utils
def batchnorm_activation_dropout(input_layer, batchnorm, activation_function, dropout_rate, is_training, name):
layers = [input_layer]
... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/tensorflow_components/layers.py | 0.843315 | 0.475605 | layers.py | pypi |
from typing import Union, List
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware
from rl_coach.base_parameters import MiddlewareScheme
from rl_coach.core_types import Middleware_FC_Em... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/tensorflow_components/middlewares/fc_middleware.py | 0.879406 | 0.262254 | fc_middleware.py | pypi |
import numpy as np
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Dense
from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware
from rl_coach.base_parameters import MiddlewareScheme
from rl_coach.core_types import Middleware_LSTM_Embedding
f... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/tensorflow_components/middlewares/lstm_middleware.py | 0.881793 | 0.242935 | lstm_middleware.py | pypi |
from typing import List
import tensorflow as tf
from rl_coach.architectures.tensorflow_components.layers import Conv2d, Dense
from rl_coach.architectures.tensorflow_components.embedders.embedder import InputEmbedder
from rl_coach.base_parameters import EmbedderScheme
from rl_coach.core_types import InputTensorEmbedd... | /rl-coach-1.0.1.tar.gz/rl-coach-1.0.1/rl_coach/architectures/tensorflow_components/embedders/tensor_embedder.py | 0.953177 | 0.591989 | tensor_embedder.py | pypi |
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