[Added SAC, DDPG and TD3] DataPredict [Release 2.0] - Machine Learning And Deep Learning Library (Learning AIs, Generative AIs, and more!)

Resources Community Resources
, ,
#890

image
image1444×239 5.44 KB

where?

and what are “numberOfPlatforms” used for?

#891

Why are you using the Roblox Studio’s properties bar?! You need to use the optimizers inside the DataPredict library. Use the API reference for my library.

#892

You just have to stick with 60 for now.

#893

Announcement: Changes to the Definition of What Qualifies as Commercial Use

Dear Users,

I would like to inform you of an important update regarding the definition of commercial use and the requirements for obtaining a separate commercial agreement.

Previously, a separate commercial agreement was required for companies (and their related entities) whose combined revenue exceeded $1,000 per year. However, after careful consideration and in an effort to streamline the process and reduce the administrative tasks involved, I have decided to increase the threshold to $3,000 within 365 days (not per 365 days).

This change will allow smaller businesses and individual developers more flexibility to use the library without the need for a separate commercial agreement, while ensuring that larger companies or those with substantial revenue engage in the necessary commercial use agreement.

Key Points:

  • A separate commercial agreement is required for companies (or individuals, if applicable) whose combined revenue (including subsidiaries or related entities) exceeds $3,000 within 365 days (not per 365 days). If you exceed this threshold and do not wish to enter into a separate agreement, you must follow the commercial use conditions outlined in the Terms and Conditions.

  • Business-to-business (B2B) activities remain unchanged and still require a separate commercial agreement, regardless of revenue. If you fulfil this condition and do not wish to enter into a separate agreement, you must follow the commercial use conditions outlined in the Terms and Conditions.

This change is aimed at reducing the administrative workload while continuing to foster a community of developers who can benefit from the library.

Thank you for your understanding and continued support.

Best regards,

Aqwam Harish Aiman (a.k.a. MyOriginsWorkshop)

#894

Release Version 1.22 / Beta Version 1.37.0

Added

  • Added MonteCarloControl and OffPolicyMonteCarloControl under “Models” section.
#897

Release Version 2.0 / Beta Version 2.0.0

Added

  • Added SoftActorCritic, DeepDeterministicPolicyGradient and TwinDelayedDeepDeterministicPolicyGradient under “Models” section.

  • DeepQLearning, DeepStateActionRewardStateAction, DeepExpectedStateActionRewardStateAction, ProximalPolicyOptimization models and its variants now have “lambda” argument for TD-Lambda and GAE-Lambda functionality. This includes AdvantageActorCritic model.

Changes

  • All internal components now uses TensorL2D instead of MatrixL for full compatibility with DataPredict Neural. TensorL2D can be replaced with TensorL.

  • All constructors now requires a parameter dictionary instead of arguments.

  • The diagonalGaussianUpdate() function now requires actionNoiseVector.

  • Moved RandomNetworkDistillation, GenerativeAdversarialImitationLearning and WassersteinGenerativeAdversarialImitationLearning to “ReinforcementLearningStrategies” section.

  • Renamed DistributedGradients to DistributedGradientsCoordinator and moved to “DistributedTrainingStrategies” section.

  • Renamed DistributedModelParameters to DistributedModelParametersCoordinator and moved to “DistributedTrainingStrategies” section.

  • All reinforcement learning models now require “terminalStateValue” for categoricalUpdate(), diagonalGaussianUpdate() and episodeUpdate() functions.

  • Reimplemented ActorCritic, VanillaPolicyGradient and REINFORCE models.

  • Made major changes with ModelChecker, ModelDatasetCreator and OnlineTraining under the “Other” section.

  • CategoricalPolicyQuickSetup and DiagonalGaussianPolicyQuickSetup no longer have setClassesList() and getClassesList() functions.

Fixes

  • Fixed CategoricalPolicyQuickSetup and DiagonalGaussianPolicyQuickSetup, where the next action is used in the categoricalUpdate() and diagonalGaussianUpdate() instead of previous action.

Removed

  • Removed AsynchronousAdvantageActorCritic from “Models” to reduce maintenance effort. You can use AdvantageActorCritic with DistributedGradientsCoordinator or DistributedModelParametersCoordinator to achieve similar functionalities.

  • Removed “AqwamCustomModels” section and its models.