Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
The research paper discusses the potential of causal knowledge in improving the interpretability of reinforcement learning (RL) agents’ decision-making process. The authors propose a framework that alternates between using interventions…
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