Deep RL With Information Constrained Policies: Generalization in Continuous Control. - Tyler Malloy; Chris R. Sims; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro (CoRR, 2020)

Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. - Tyler Malloy; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro; Chris R. Sims (CoRR, 2020)

RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). - Tyler Malloy; Tim Klinger; Miao Liu 001; Gerald Tesauro; Matthew Riemer; Chris R. Sims (AAAI, 2021)

Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. - Tyler Malloy; Chris R. Sims; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro (CoG, 2021)

Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. - Tyler Malloy; Tim Klinger; Miao Liu 001; Gerald Tesauro; Matthew Riemer; Chris R. Sims (CogSci, 2021)

Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games. - Tyler Malloy; Cleotilde Gonzalez (EuroS&P Workshops, 2023)

Learning in Factored Domains with Information-Constrained Visual Representations. - Tyler Malloy; Miao Liu 001; Matthew D. Riemer; Tim Klinger; Gerald Tesauro; Chris R. Sims (CoRR, 2023)

Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content. - Tyler Malloy; Maria José Ferreira; Fei Fang; Cleotilde Gonzalez (CoRR, 2024)

Training Users Against Human and GPT-4 Generated Social Engineering Attacks. - Tyler Malloy; Maria José Ferreira; Fei Fang; Cleotilde Gonzalez (HCI (49), 2025)

A Cyber-War Between Bots: Cognitive Attackers are More Challenging for Defenders than Strategic Attackers. - Yinuo Du; Baptiste Prébot; Tyler Malloy; Cleotilde Gonzalez (ACM Trans. Soc. Comput., 2025)

Modeling Attention during Dimensional Shifts with Counterfactual and Delayed Feedback. - Tyler Malloy; Roderick Seow; Cleotilde Gonzalez (CoRR, 2025)