The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces?The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces? The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces? hybird reinforcement learning MATLAB Answers — New Questions

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