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Found 2 papers, 2 papers with code
Learning Causal Dynamics Models in Object-Oriented Environments
Causal dynamics models (CDMs) have demonstrated significant potential in addressing various challenges in reinforcement learning.
Explainable Reinforcement Learning via a Causal World Model
Generating explanations for reinforcement learning (RL) is challenging as actions may produce long-term effects on the future.
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