Release Version 1.9

Models

• Added SoftActorCritic, DeepDeterministicPolicyGradient and TwinDelayedDeepDeterministicPolicyGradient.

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

• The diagonalGaussianUpdate() function now requires actionNoiseVector.

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

• Reimplemented ActorCritic, VanillaPolicyGradient and REINFORCE models.