Comprehensive Review of Causal Reinforcement Learning: Surveying Algorithms and Applications

This ArXiv article provides a valuable contribution by surveying and categorizing causal reinforcement learning (CRL) algorithms and their applications. It offers a structured approach to a rapidly evolving field, potentially accelerating research and facilitating practical implementations of CRL.

• •Presents a comprehensive survey of existing causal reinforcement learning techniques.
• •Offers a taxonomy for categorizing different CRL algorithms.
• •Highlights potential applications of CRL, suggesting future research directions.