Causal Discovery with Reinforcement Learning

ICLR 2020 Shengyu ZhuIgnavier NgZhitang Chen

Discovering causal structure among a set of variables is a fundamental problem in many empirical sciences. Traditional score-based casual discovery methods rely on various local heuristics to search for a Directed Acyclic Graph (DAG) according to a predefined score function... (read more)

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