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/* (c) https://github.com/MontiCore/monticore */
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package de.monticore.lang.monticar;
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grammar CNNTrain extends de.monticore.lang.monticar.Common2, de.monticore.NumberUnit{
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    symbol scope CNNTrainCompilationUnit = "configuration"
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                                 name:Name&
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                                 Configuration;

    Configuration =  "{"entries:ConfigEntry* "}";
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    interface Entry;
    ast Entry = method String getName(){}
                method ASTConfigValue getValue(){};
    interface ConfigValue;
    interface ConfigEntry extends Entry;
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    interface VariableReference;
    ast VariableReference = method String getName(){};
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    // General Values
    DataVariable implements VariableReference = Name&;
    IntegerValue implements ConfigValue = NumberWithUnit;
    NumberValue implements ConfigValue = NumberWithUnit;
    StringValue implements ConfigValue = StringLiteral;
    BooleanValue implements ConfigValue = (TRUE:"true" | FALSE:"false");
    ComponentNameValue implements ConfigValue = Name ("."Name)*;
    DoubleVectorValue implements ConfigValue = "(" number:NumberWithUnit ("," number:NumberWithUnit)* ")";
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    IntegerListValue implements ConfigValue = "[" number:NumberWithUnit ("," number:NumberWithUnit)* "]";
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    NumEpochEntry implements ConfigEntry = name:"num_epoch" ":" value:IntegerValue;
    BatchSizeEntry implements ConfigEntry = name:"batch_size" ":" value:IntegerValue;
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    LoadCheckpointEntry implements ConfigEntry = name:"load_checkpoint" ":" value:BooleanValue;
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    CheckpointPeriodEntry implements ConfigEntry = name:"checkpoint_period" ":" value:IntegerValue;
    LogPeriodEntry implements ConfigEntry = name:"log_period" ":" value:IntegerValue;
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    NormalizeEntry implements ConfigEntry = name:"normalize" ":" value:BooleanValue;
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    ShuffleDataEntry implements ConfigEntry = name:"shuffle_data" ":" value:BooleanValue;
    ClipGlobalGradNormEntry implements ConfigEntry = name:"clip_global_grad_norm" ":" value:NumberValue;

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    OptimizerEntry implements ConfigEntry = (name:"optimizer" | name:"actor_optimizer") ":" value:OptimizerValue;
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    TrainContextEntry implements ConfigEntry = name:"context" ":" value:TrainContextValue;
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    LossEntry implements ConfigEntry = name:"loss" ":" value:LossValue;
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    LossWeightsEntry implements ConfigEntry = name:"loss_weights" ":" value:DoubleVectorValue;
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    EvalMetricEntry implements MultiParamConfigEntry = name:"eval_metric" ":" value:EvalMetricValue;

    interface EvalMetricValue extends MultiParamValue;
    AccuracyEvalMetric implements EvalMetricValue = name:"accuracy";
    BleuMetric implements EvalMetricValue = name:"bleu" ("{" params:BleuEntry* "}")?;
    CrossEntropyEvalMetric implements EvalMetricValue = name:"cross_entropy";
    F1EvalMetric implements EvalMetricValue = name:"f1";
    MAEEvalMetric implements EvalMetricValue = name:"mae";
    MSEEvalMetric implements EvalMetricValue = name:"mse";
    PerplexityEvalMetric implements EvalMetricValue = name:"perplexity";
    RMSEEvalMetric implements EvalMetricValue = name:"rmse";
    TopKAccuracyEvalMetric implements EvalMetricValue = name:"top_k_accuracy";

    interface BleuEntry extends Entry;
    ExcludeBleuEntry implements BleuEntry = name:"exclude" ":" value:IntegerListValue;
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    EvalTrainEntry implements ConfigEntry = name:"eval_train" ":" value:BooleanValue;

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    LRPolicyValue implements ConfigValue =(fixed:"fixed"
                                         | step:"step"
                                         | exp:"exp"
                                         | inv:"inv"
                                         | poly:"poly"
                                         | sigmoid:"sigmoid");
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    TrainContextValue implements ConfigValue = (cpu:"cpu" | gpu:"gpu");
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    interface OptimizerParamEntry extends Entry;
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    interface LossValue extends MultiParamValue;
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    L1Loss implements LossValue = name:"l1" ("{" params:Entry* "}")?;

    L2Loss implements LossValue = name:"l2" ("{" params:Entry* "}")?;

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    EPELoss implements LossValue = name:"epe" ("{" params:Entry* "}")?;

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    LogCoshLoss implements LossValue = name:"log_cosh" ("{" params:Entry* "}")?;

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    interface HuberEntry extends Entry;
    HuberLoss implements LossValue = name:"huber" ("{" params:HuberEntry* "}")?;

    interface CrossEntropyEntry extends Entry;
    CrossEntropyLoss implements LossValue = name:"cross_entropy" ("{" params:CrossEntropyEntry* "}")?;

    interface SoftmaxCrossEntropyEntry extends Entry;
    SoftmaxCrossEntropyLoss implements LossValue = name:"softmax_cross_entropy" ("{" params:SoftmaxCrossEntropyEntry* "}")?;

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    interface SoftmaxCrossEntropyIgnoreIndicesEntry extends Entry;
    SoftmaxCrossEntropyIgnoreIndicesLoss implements LossValue = name:"softmax_cross_entropy_ignore_indices" ("{" params:SoftmaxCrossEntropyIgnoreIndicesEntry* "}")?;

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    interface DiceEntry extends Entry;
    DiceLoss implements LossValue = name:"dice_loss" ("{" params:DiceEntry* "}")?;

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    SigmoidBinaryCrossEntropyLoss implements LossValue = name:"sigmoid_binary_cross_entropy" ("{" params:Entry* "}")?;

    interface HingeEntry extends Entry;
    HingeLoss implements LossValue = name:"hinge" ("{" params:HingeEntry* "}")?;

    interface SquaredHingeEntry extends Entry;
    SquaredHingeLoss implements LossValue = name:"squared_hinge" ("{" params:SquaredHingeEntry* "}")?;

    interface LogisticEntry extends Entry;
    LogisticLoss implements LossValue = name:"logistic" ("{" params:LogisticEntry* "}")?;

    interface KullbackLeiblerEntry extends Entry;
    KullbackLeiblerLoss implements LossValue = name:"kullback_leibler" ("{" params:KullbackLeiblerEntry* "}")?;

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    SparseLabelEntry implements CrossEntropyEntry, SoftmaxCrossEntropyEntry, SoftmaxCrossEntropyIgnoreIndicesEntry, DiceEntry = name:"sparse_label" ":" value:BooleanValue;
    FromLogitsEntry implements SoftmaxCrossEntropyEntry, SoftmaxCrossEntropyIgnoreIndicesEntry, KullbackLeiblerEntry, DiceEntry = name:"from_logits" ":" value:BooleanValue;
    LossAxisEntry implements CrossEntropyEntry, SoftmaxCrossEntropyEntry, SoftmaxCrossEntropyIgnoreIndicesEntry, DiceEntry = name:"loss_axis" ":" value:IntegerValue;
    BatchAxisEntry implements CrossEntropyEntry, SoftmaxCrossEntropyEntry, SoftmaxCrossEntropyIgnoreIndicesEntry, DiceEntry = name:"batch_axis" ":" value:IntegerValue;
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    IgnoreIndicesEntry implements SoftmaxCrossEntropyIgnoreIndicesEntry = name:"ignore_indices" ":" value:IntegerValue;
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    MarginEntry implements HingeEntry, SquaredHingeEntry = name:"margin" ":" value:NumberValue;
    LabelFormatEntry implements LogisticEntry = name:"label_format" ":" value:StringValue;
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    DiceWeightEntry implements DiceEntry = name: "dice_weight" ":" value:DoubleVectorValue;
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    interface OptimizerValue extends ConfigValue;
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    interface SGDEntry extends OptimizerParamEntry;
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    SGDOptimizer implements OptimizerValue = name:"sgd" ("{" params:SGDEntry* "}")?;

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    interface AdamEntry extends OptimizerParamEntry;
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    AdamOptimizer implements OptimizerValue = name:"adam" ("{" params:AdamEntry* "}")?;

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    interface RmsPropEntry extends OptimizerParamEntry;
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    RmsPropOptimizer implements OptimizerValue = name:"rmsprop" ("{" params:RmsPropEntry* "}")?;

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    interface AdaGradEntry extends OptimizerParamEntry;
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    AdaGradOptimizer implements OptimizerValue = name:"adagrad" ("{" params:AdaGradEntry* "}")?;

    NesterovOptimizer implements OptimizerValue = name:"nag" ("{" params:SGDEntry* "}")?;

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    interface AdaDeltaEntry extends OptimizerParamEntry;
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    AdaDeltaOptimizer implements OptimizerValue = name:"adadelta" ("{" params:AdaDeltaEntry* "}")?;

    interface GeneralOptimizerEntry extends SGDEntry,AdamEntry,RmsPropEntry,AdaGradEntry,AdaDeltaEntry;

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    MinimumLearningRateEntry implements GeneralOptimizerEntry = name:"learning_rate_minimum" ":" value:NumberValue;
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    LearningRateEntry implements GeneralOptimizerEntry = name:"learning_rate" ":" value:NumberValue;
    WeightDecayEntry implements GeneralOptimizerEntry = name:"weight_decay" ":" value:NumberValue;
    LRDecayEntry implements GeneralOptimizerEntry = name:"learning_rate_decay" ":" value:NumberValue;
    LRPolicyEntry implements GeneralOptimizerEntry = name:"learning_rate_policy" ":" value:LRPolicyValue;
    RescaleGradEntry implements GeneralOptimizerEntry = name:"rescale_grad" ":" value:NumberValue;
    ClipGradEntry implements GeneralOptimizerEntry = name:"clip_gradient" ":" value:NumberValue;
    StepSizeEntry implements GeneralOptimizerEntry = name:"step_size" ":" value:IntegerValue;


    MomentumEntry implements SGDEntry = name:"momentum" ":" value:NumberValue;
    Beta1Entry implements AdamEntry = name:"beta1" ":" value:NumberValue;
    Beta2Entry implements AdamEntry = name:"beta2" ":" value:NumberValue;
    EpsilonEntry implements AdamEntry,AdaGradEntry,RmsPropEntry,AdaDeltaEntry = name:"epsilon" ":" value:NumberValue;
    Gamma1Entry implements RmsPropEntry = name:"gamma1" ":" value:NumberValue;
    Gamma2Entry implements RmsPropEntry = name:"gamma2" ":" value:NumberValue;
    CenteredEntry implements RmsPropEntry = name:"centered" ":" value:BooleanValue;
    ClipWeightsEntry implements RmsPropEntry = name:"clip_weights" ":" value:NumberValue;
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    RhoEntry implements AdaDeltaEntry,RmsPropEntry,HuberEntry = name:"rho" ":" value:NumberValue;
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    UseTeacherForcing implements ConfigEntry = name:"use_teacher_forcing" ":" value:BooleanValue;

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    // Visual attention Extension
    SaveAttentionImage implements ConfigEntry = name:"save_attention_image" ":" value:BooleanValue;

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    // Reinforcement Extensions
    interface MultiParamValue extends ConfigValue;

    LearningMethodEntry implements ConfigEntry = name:"learning_method" ":" value:LearningMethodValue;
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    RLAlgorithmEntry implements ConfigEntry = name:"rl_algorithm" ":" value:RLAlgorithmValue;
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    NumEpisodesEntry implements ConfigEntry = name:"num_episodes" ":" value:IntegerValue;
    DiscountFactorEntry implements ConfigEntry = name:"discount_factor" ":" value:NumberValue;
    NumMaxStepsEntry implements ConfigEntry = name:"num_max_steps" ":" value:IntegerValue;
    TargetScoreEntry implements ConfigEntry = name:"target_score" ":" value:NumberValue;
    TrainingIntervalEntry implements ConfigEntry = name:"training_interval" ":" value:IntegerValue;
    SnapshotIntervalEntry implements ConfigEntry = name:"snapshot_interval" ":" value:IntegerValue;
    AgentNameEntry implements ConfigEntry = name:"agent_name" ":" value:StringValue;
    RewardFunctionEntry implements ConfigEntry = name:"reward_function" ":" value:ComponentNameValue;
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    StartTrainingAtEntry implements ConfigEntry = name:"start_training_at" ":" value:IntegerValue;
    EvaluationSamplesEntry implements ConfigEntry = name:"evaluation_samples" ":" value:IntegerValue;
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    LearningMethodValue implements ConfigValue = (supervisedLearning:"supervised" | reinforcement:"reinforcement" | gan:"gan");
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    RLAlgorithmValue implements ConfigValue = (dqn:"dqn-algorithm" | ddpg:"ddpg-algorithm" | tdThree:"td3-algorithm");
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    interface MultiParamConfigEntry extends ConfigEntry;

    // Replay Memory
    ReplayMemoryEntry implements MultiParamConfigEntry = name:"replay_memory" ":" value:ReplayMemoryValue;
    interface ReplayMemoryValue extends MultiParamValue;

    interface ReplayMemoryBufferEntry extends Entry;
    ReplayMemoryBufferValue implements ReplayMemoryValue = name:"buffer" ("{" params:ReplayMemoryBufferEntry* "}")?;

    ReplayMemoryOnlineValue implements ReplayMemoryValue = name:"online";

    interface ReplayMemoryCombinedEntry extends Entry;
    ReplayMemoryCombinedValue implements ReplayMemoryValue = name:"combined" ("{" params:ReplayMemoryCombinedEntry* "}")?;

    interface GeneralReplayMemoryEntry extends ReplayMemoryBufferEntry, ReplayMemoryCombinedEntry;

    MemorySizeEntry implements GeneralReplayMemoryEntry = name:"memory_size" ":" value:IntegerValue;
    SampleSizeEntry implements GeneralReplayMemoryEntry = name:"sample_size" ":" value:IntegerValue;

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    // Strategy
    StrategyEntry implements MultiParamConfigEntry = name:"strategy" ":" value:StrategyValue;
    interface StrategyValue extends MultiParamValue;

    interface StrategyEpsGreedyEntry extends Entry;
    StrategyEpsGreedyValue implements StrategyValue = name:"epsgreedy" ("{" params:StrategyEpsGreedyEntry* "}")?;

    interface StrategyOrnsteinUhlenbeckEntry extends Entry;
    StrategyOrnsteinUhlenbeckValue implements StrategyValue = name:"ornstein_uhlenbeck" ("{" params:StrategyOrnsteinUhlenbeckEntry* "}")?;
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    interface StrategyGaussianEntry extends Entry;
    StrategyGaussianValue implements StrategyValue = name:"gaussian" ("{" params:StrategyGaussianEntry* "}")?;

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    StrategyGaussianNoiseVarianceEntry implements StrategyGaussianEntry = name: "noise_variance" ":" value:NumberValue;

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    StrategyOUMu implements StrategyOrnsteinUhlenbeckEntry = name: "mu" ":" value:DoubleVectorValue;
    StrategyOUTheta implements StrategyOrnsteinUhlenbeckEntry = name: "theta" ":" value:DoubleVectorValue;
    StrategyOUSigma implements StrategyOrnsteinUhlenbeckEntry = name: "sigma" ":" value:DoubleVectorValue;
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    interface GeneralStrategyEntry extends StrategyEpsGreedyEntry, StrategyOrnsteinUhlenbeckEntry, StrategyGaussianEntry;
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    GreedyEpsilonEntry implements GeneralStrategyEntry = name:"epsilon" ":" value:NumberValue;
    MinEpsilonEntry implements GeneralStrategyEntry = name:"min_epsilon" ":" value:NumberValue;
    EpsilonDecayStartEntry implements GeneralStrategyEntry = name:"epsilon_decay_start" ":" value:IntegerValue;
    EpsilonDecayMethodEntry implements GeneralStrategyEntry = name:"epsilon_decay_method" ":" value:EpsilonDecayMethodValue;
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    EpsilonDecayMethodValue implements ConfigValue = (linear:"linear" | no:"no");
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    EpsilonDecayPerStepEntry implements GeneralStrategyEntry = name:"epsilon_decay_per_step" ":" value:BooleanValue;
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    EpsilonDecayEntry implements GeneralStrategyEntry = name:"epsilon_decay" ":" value:NumberValue;
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    // Environment
    EnvironmentEntry implements MultiParamConfigEntry = name:"environment" ":" value:EnvironmentValue;
    interface EnvironmentValue extends MultiParamValue;

    interface GymEnvironmentEntry extends Entry;
    GymEnvironmentValue implements EnvironmentValue = name:"gym" ("{" params:GymEnvironmentEntry* "}");
    GymEnvironmentNameEntry implements GymEnvironmentEntry = name:"name" ":" value:StringValue;

    interface RosEnvironmentEntry extends Entry;
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    RosEnvironmentValue implements EnvironmentValue = name:"ros_interface" ("{" params:RosEnvironmentEntry* "}")?;
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    RosEnvironmentStateTopicEntry implements RosEnvironmentEntry = name:"state_topic" ":" value:StringValue;
    RosEnvironmentActionTopicEntry implements RosEnvironmentEntry = name:"action_topic" ":" value:StringValue;
    RosEnvironmentResetTopicEntry implements RosEnvironmentEntry = name:"reset_topic" ":" value:StringValue;
    RosEnvironmentTerminalStateTopicEntry implements RosEnvironmentEntry = name:"terminal_state_topic" ":" value:StringValue;
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    RosEnvironmentRewardTopicEntry implements RosEnvironmentEntry = name:"reward_topic" ":" value:StringValue;

    // DQN exclusive parameters
    UseFixTargetNetworkEntry implements ConfigEntry = name:"use_fix_target_network" ":" value:BooleanValue;
    TargetNetworkUpdateIntervalEntry implements ConfigEntry = name:"target_network_update_interval" ":" value:IntegerValue;
    UseDoubleDQNEntry implements ConfigEntry = name:"use_double_dqn" ":" value:BooleanValue;


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    // DDPG and TD3 exclusive parameters
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    CriticNetworkEntry implements ConfigEntry = name:"critic" ":" value:ComponentNameValue;
    SoftTargetUpdateRateEntry implements ConfigEntry = name:"soft_target_update_rate" ":" value:NumberValue;
    CriticOptimizerEntry implements ConfigEntry = name:"critic_optimizer" ":" value:OptimizerValue;
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    // TD3 exclusive parameters
    PolicyNoiseEntry implements ConfigEntry = name:"policy_noise" ":" value:NumberValue;
    NoiseClipEntry implements ConfigEntry = name:"noise_clip" ":" value:NumberValue;
    PolicyDelayEntry implements ConfigEntry = name:"policy_delay" ":" value:IntegerValue;
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    // GANs Extensions
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    interface MultiParamValueMapConfigEntry extends ConfigEntry;
    interface MultiParamValueMapParamValue extends ConfigValue;
    interface MultiParamValueMapTupleValue extends ConfigValue;

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    DiscriminatorNetworkEntry implements ConfigEntry = name:"discriminator_name" ":" value:ComponentNameValue;
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    QNetworkEntry implements ConfigEntry = name:"qnet_name" ":" value:ComponentNameValue;
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    PreprocessingEntry implements ConfigEntry = name:"preprocessing_name" ":" value:ComponentNameValue;
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    // Noise Distribution Creator
    NoiseDistributionEntry implements MultiParamConfigEntry = name:"noise_distribution" ":" value:NoiseDistributionValue;
    interface NoiseDistributionValue extends MultiParamValue;

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    interface NoiseDistributionParamEntry extends Entry;
    interface NoiseDistributionGaussianEntry extends NoiseDistributionParamEntry;

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    NoiseDistributionGaussianValue implements NoiseDistributionValue = name:"gaussian" ("{" params:NoiseDistributionGaussianEntry* "}")?;

    MeanValueEntry implements NoiseDistributionGaussianEntry = name:"mean_value" ":" value:IntegerValue;
    SpreadValueEntry implements NoiseDistributionGaussianEntry = name:"spread_value" ":" value:IntegerValue;
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    // Constraint Distributions
    ConstraintDistributionEntry implements MultiParamValueMapConfigEntry  = name:"constraint_distributions" ":" value:ConstraintDistributionValue;
    ConstraintDistributionValue implements MultiParamValueMapParamValue = ("{" params:ConstraintDistributionParam* "}")?;
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    ConstraintDistributionParam implements MultiParamValueMapTupleValue = name:StringValue ":" multiParamValue:NoiseDistributionValue;

    // Constraint losses
    ConstraintLossEntry implements MultiParamValueMapConfigEntry  = name:"constraint_losses" ":" value:ConstraintLossValue;
    ConstraintLossValue implements MultiParamValueMapParamValue = ("{" params:ConstraintLossParam* "}")?;
    ConstraintLossParam implements MultiParamValueMapTupleValue = name:StringValue ":" multiParamValue:LossValue;
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}