Search Results for author:
Found 4 papers, 2 papers with code
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
We present a novel procedure for optimization based on the combination of efficient quantized tensor train representation and a generalized maximum matrix volume principle.
Learning Elimination Ordering for Tree Decomposition Problem
We propose a Reinforcement Learning-based approach to approximately solve the Tree Decomposition problem.
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics
We show that the agent builton GCN and trained on a single graph using an Actor-Critic method can efficiently generalize to real-world TD problem instances.
Tensor-Structured Coupled Cluster Theory
We derive and implement a new way of solving coupled cluster equations with lower computational scaling.
Chemical Physics Strongly Correlated Electrons
