DataFunSummit
Jul 8, 2024 · Artificial Intelligence
World Models and Causal Inference in Reinforcement Learning: A Comprehensive Overview
This article reviews the role of world (mental) models and causal inference in reinforcement learning, covering their theoretical foundations, model‑based RL frameworks such as Dyna, sample‑efficiency challenges, causal structure learning, distribution correction, dynamics‑reward modeling, and experimental results that demonstrate performance gains across multiple tasks.
causal inferencemodel-based RLreinforcement learning
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