Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

Neural Information Processing Systems 

This can lead to RL agents encoding these misleading correlations in their latent representation, preventing the agent from generalising if the correlation changes within the environment or when deployed in the real world.

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