On non-unique solutions in mean field games. - Bruce E. Hajek; Michael Livesay (CDC, 2019)

Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. - Joseph Lubars; Anna Winnicki; Michael Livesay; R. Srikant 001 (CoRR, 2021)

The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation. - Anna Winnicki; Joseph Lubars; Michael Livesay; R. Srikant 001 (CoRR, 2021)

A Theoretical Approach for Reliability Within Information Supply Chains With Cycles and Negations. - Michael Livesay; Daniel Pless; Stephen J. Verzi; Kevin Stamber; Anneliese Lilje (IEEE Trans. Reliab., 2022)

Deep Reinforcement Learning for Distribution Power System Cyber-Resilience via Distributed Energy Resource Control. - Nicholas E. Corrado; Michael Livesay; Tyson Bailey; Jay Johnson; Drew Levin (SmartGridComm, 2023)

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation. - Anna Winnicki; Joseph Lubars; Michael Livesay; R. Srikant 001 (Oper. Res., 2025)