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Choose your causal model
Attractor type

Reward range [40, 30]
Target variable
Number of variables
Action variable
Parameters

Euler-Maruyama Approximation:

\[X_{t+1} = X_{t}+\theta (X_t^\top \Gamma - X_{t})dt+{\sigma{dW_t}}\]

\[\: \Gamma\]
\[A\]
\[B\]
\[C\]
\[D\]
\[E\]
\[F\]
\[A \rightarrow \]
\
\[B \rightarrow \]
\
\[C \rightarrow \]
\
\[D \rightarrow \]
\
\[E \rightarrow \]
\
\[F \rightarrow \]
\