A delay-aware RL approach learns transferable structured representations and dynamics via implicit causal graphs, outperforming baselines on delayed DMC tasks and accelerating adaptation to new tasks.
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Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
A delay-aware RL approach learns transferable structured representations and dynamics via implicit causal graphs, outperforming baselines on delayed DMC tasks and accelerating adaptation to new tasks.