The act of remembering: a study in partially observable reinforcement learning. - Rodrigo Toro Icarte; Richard Anthony Valenzano; Toryn Q. Klassen; Phillip J. K. Christoffersen; Amir-massoud Farahmand; Sheila A. McIlraith (CoRR, 2020)

Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. - Phillip J. K. Christoffersen; Andreas A. Haupt; Dylan Hadfield-Menell (AAMAS, 2023)

Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. - Phillip J. K. Christoffersen; Andrew C. Li; Rodrigo Toro Icarte; Sheila A. McIlraith (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Formal contracts mitigate social dilemmas in multi-agent reinforcement learning. - Andreas A. Haupt; Phillip J. K. Christoffersen; Mehul Damani; Dylan Hadfield-Menell (Auton. Agents Multi Agent Syst., 2024)

The AI Agent Index. - Stephen Casper; Luke Bailey; Rosco Hunter; Carson Ezell; Emma Cabalé; Michael Gerovitch; Stewart Slocum; Kevin Wei; Nikola Jurkovic; Ariba Khan; Phillip J. K. Christoffersen; A. Pinar Ozisik; et al. (CoRR, 2025)