Neural Network Based Nonlinear Weighted Finite Automata. - Tianyu Li 008; Guillaume Rabusseau; Doina Precup (CoRR, 2017)

Nonlinear Weighted Finite Automata. - Tianyu Li 008; Guillaume Rabusseau; Doina Precup (AISTATS, 2018)

Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning. - Guillaume Rabusseau; Tianyu Li 008; Doina Precup (AISTATS, 2019)

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. - Tianyu Li 008; Bogdan Mazoure; Doina Precup; Guillaume Rabusseau (AISTATS, 2020)

Provably efficient reconstruction of policy networks. - Bogdan Mazoure; Thang Doan; Tianyu Li 008; Vladimir Makarenkov; Joelle Pineau; Doina Precup; Guillaume Rabusseau (CoRR, 2020)

Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies. - Jimmy Li 001; Di Wu 044; Yi Tian Xu; Tianyu Li 008; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2022)

Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata. - Tianyu Li 008; Bogdan Mazoure; Guillaume Rabusseau (CoRR, 2022)

Low-Rank Representation of Reinforcement Learning Policies. - Bogdan Mazoure; Thang Doan; Tianyu Li 008; Vladimir Makarenkov; Joelle Pineau; Doina Precup; Guillaume Rabusseau (J. Artif. Intell. Res., 2022)

Hallucination Detection and Hallucination Mitigation: An Investigation. - Junliang Luo; Tianyu Li 008; Di Wu 044; Michael Jenkin; Steve Liu; Gregory Dudek (CoRR, 2024)

Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning. - Tianyu Li 008; Doina Precup; Guillaume Rabusseau (Mach. Learn., 2024)