DataPredict™ Neural [Release 1.11] (Mature + Maintenance Mode) - Deep Learning Library - 45+ Models + Recurrent Deep Reinforcement Learning!

Release Version 1.11 / Beta Version 1.7.0

Added

  • Added all the recurrent version of deep reinforcement learning models from the “Models” section to the “RecurrentModels” section. The models include:

    • RecurrentVanillaPolicyGradient

    • RecurrentActorCritic

    • RecurrentAdvantageActorCritic

    • RecurrentSoftActorCritic

    • RecurrentProximalPolicyOptimization

    • RecurrentProximalPolicyOptimizationClip

    • RecurrentDeepDeterministicPolicyGradient

    • RecurrentTwinDelayedDeepDeterministicPolicyGradient

    • RecurrentREINFORCE

    • RecurrentMonteCarloControl

    • RecurrentOffPolicyMonteCarloControl

    • RecurrentDeepQLearning

    • RecurrentDeepStateActionRewardStateAction

    • RecurrentDeepExpectedStateActionRewardStateAction

    • RecurrentDeepClippedDoubleQLearning

    • RecurrentDeepDoubleQLearningV1

    • RecurrentDeepDoubleQLearningV2

    • RecurrentDeepDoubleStateActionRewardStateActionV1

    • RecurrentDeepDoubleStateActionRewardStateActionV2

    • RecurrentDeepDoubleExpectedStateActionRewardStateActionV1

    • RecurrentDeepDoubleExpectedStateActionRewardStateActionV2

Changes

  • Refactored all the codes under the “Container” section.

  • Refactored IterativeTrainingWrapper codes under the “Utilities” section.

  • Improved the first derivative tensor calculations for ConstantPadding, ReplicationPadding and ReflectionPadding under the “PaddingBlocks” section.

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FANTASTIC!! This text will be blurred

Just wait until you see the next generation for this library. Though, not all features like the reinforcement learning models included for the Beta version.

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