101 citations · 389 across the 29 of their papers we have counts for
7 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…
Universal Decision Models
Sridhar Mahadevan
Humans are universal decision makers: we reason causally to understand the world; we act competitively to gain advantage in commerce, games, and war; and we are able to learn to ma…
Asymptotic Causal Inference
Sridhar Mahadevan
We investigate causal inference in the asymptotic regime as the number of variables approaches infinity using an information-theoretic framework. We define structural entropy of a…
Decision-Theoretic Planning with Concurrent Temporally Extended Actions
Khashayar Rohanimanesh, Sridhar Mahadevan
We investigate a model for planning under uncertainty with temporallyextended actions, where multiple actions can be taken concurrently at each decision epoch. Our model is based o…