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- Introduced `grad_clip_norm` parameter in SAC configuration for gradient clipping - Updated SACPolicy to store temperature as an instance variable for consistent usage - Modified loss calculations in SACPolicy to utilize the instance temperature - Enhanced MLP and CriticHead to support a customizable final activation function - Implemented gradient clipping in the learner server during training steps for both actor and critic - Added tracking for gradient norms in training information