Additionally,wepropose theGraphCroc, anewGAE thatsupports flexible encoder architectures tailored forvarious downstream tasksand ensures robust structural reconstruction, through a mirrored encoding-decoding process.

Wephrase the challenge ofsolving SMT formulas asatree search problemwhere ateach step atransformation is applied to the input formula until the formula is solved.

Moreover, weassumethatthedimensionsd and k are fixedthroughoutthispaper.

We study actor-critic for LQR with ergodic costs and noisy state dynamics.

Van Seijen et al. [2017] propose to split a state into different sub-states, each with a sub-reward obtained bytraining ageneral valuefunction, andlearnmultiple valuefunctions withsub-rewards. The architecture is rather limited due to requiring prior knowledge of how to split into sub-states.

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