[D] [R] Causality and model-based RL: possible connection?

Hey everyone! I've been diving into the world of model-based Reinforcement Learning (RL) and its relationship with causal inference, and I find myself intrigued yet slightly puzzled.(Please let me know if my understanding makes sense at all)

On the one hand, model-based RL, with its focus on learning the dynamics of an environment, seems to naturally lend itself to answering "what if" questions. The ability to predict the outcomes of actions without actual real-world trials feels very much like causal …

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