Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research. - Yutai Zhou; Shawn Manuel; Peter Morales; Sheng Li; Jaime Peña 001; Ross E. Allen (HPEC, 2020)

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. - Ho Chit Siu; Jaime Daniel Peña; Edenna Chen; Yutai Zhou; Victor J. Lopez; Kyle Palko; Kimberlee C. Chang; Ross E. Allen (NeurIPS, 2021)

Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. - Sheng Li; Yutai Zhou; Ross E. Allen; Mykel J. Kochenderfer (ICRA, 2022)

In Pursuit of Predictive Models of Human Preferences Toward AI Teammates. - Ho Chit Siu; Jaime Daniel Peña; Yutai Zhou; Ross E. Allen (CoRR, 2025)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations. - Anthony Liang; Pavel Czempin; Matthew Hong 002; Yutai Zhou; Erdem Biyik; Stephen Tu (CoRR, 2025)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. - Amin Banayeeanzade; Fatemeh Bahrani; Yutai Zhou; Erdem Biyik (CoRR, 2025)