101 citations · 389 across the 29 of their papers we have counts for
4 papers · 1 filter
A Layered Architecture for Universal Causality
Sridhar Mahadevan
We propose a layered hierarchical architecture called UCLA (Universal Causality Layered Architecture), which combines multiple levels of categorical abstraction for causal inferenc…
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory
Sridhar Mahadevan
We present a unified formalism for structure discovery of causal models and predictive state representation (PSR) models in reinforcement learning (RL) using higher-order category…
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property
Sridhar Mahadevan
We propose Universal Causality, an overarching framework based on category theory that defines the universal property that underlies causal inference independent of the underlying…
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
Kai Wang, Zhao Song, Georgios Theocharous +1
Smoothed online combinatorial optimization considers a learner who repeatedly chooses a combinatorial decision to minimize an unknown changing cost function with a penalty on switc…