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Yutai Zhou
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2020 – today
- 2025
[c4]Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik:
GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. IROS 2025: 13505-13512
[i6]Ho Chit Siu, Jaime Daniel Peña, Yutai Zhou, Ross E. Allen:
In Pursuit of Predictive Models of Human Preferences Toward AI Teammates. CoRR abs/2503.15516 (2025)
[i5]Anthony Liang, Pavel Czempin, Matthew Hong
, Yutai Zhou, Erdem Biyik, Stephen Tu:
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations. CoRR abs/2505.04999 (2025)
[i4]Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik:
GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. CoRR abs/2507.19647 (2025)
[i3]Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Biyik:
AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations. CoRR abs/2511.18617 (2025)- 2022
[c3]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. ICRA 2022: 5511-5517- 2021
[c2]Ho Chit Siu, Jaime Daniel Peña, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Kimberlee C. Chang, Ross E. Allen:
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. NeurIPS 2021: 16183-16195
[i2]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. CoRR abs/2102.12550 (2021)
[i1]Ho Chit Siu, Jaime Daniel Peña, Kimberlee C. Chang, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Ross E. Allen:
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. CoRR abs/2107.07630 (2021)- 2020
[c1]Yutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Peña, Ross E. Allen:
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research. HPEC 2020: 1-9
Coauthor Index

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