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math.AG2022★ 1 cited
Stabilizer Reduction for Derived Stacks and Applications to Sheaf-Theoretic Invariants
Jeroen Hekking, David Rydh, Michail Savvas
We construct a canonical stabilizer reduction for any derived -algebraic stack over as a sequence of derived Kirwan blow-ups, under mild natural…
cs.AI2022
Categorical semantics of compositional reinforcement learning
Georgios Bakirtzis, Michail Savvas, Ufuk Topcu
Compositional knowledge representations in reinforcement learning (RL) facilitate modular, interpretable, and safe task specifications. However, generating compositional models req…
math.AG2022
Virtual Riemann-Roch Theorems for Almost Perfect Obstruction Theories
Michail Savvas
This is the third in a series of works devoted to constructing virtual structure sheaves and -theoretic invariants in moduli theory. The central objects of study are almost perf…