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These findings position stage-aware human-AI collaboration as a practical approach for producing inspectable, revisable, and verifiable analyses while retaining domain-expert involvement in consequential decisions.
R2D-RL transforms the RoboCup 2D Soccer landscape, enabling seamless integration of advanced MARL techniques with a robust soccer simulation environment.
CREDiT reveals how counterfactual reasoning can disentangle causal evidence from confounding factors, leading to a dramatic boost in VideoQA accuracy.
