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2020 – today
- 2026
[j2]Aibin Yan, Han Bao, Jiaxun Cui, Haroon Waris, Jinpeng Li, Xiaoqing Wen:
Design and verification of a robust near-memory computing architecture for image fusion tasks. Microelectron. J. 168: 107006 (2026)- 2025
- [j1]Yulin Zhang
, William Macke, Jiaxun Cui, Sharon Hornstein, Daniel Urieli, Peter Stone:
Learning a robust multiagent driving policy for traffic congestion reduction. Neural Comput. Appl. 37(31): 25695-25708 (2025) - [i10]Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone:
Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. CoRR abs/2505.18334 (2025) - [i9]Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone:
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork. CoRR abs/2505.23686 (2025) - [i8]Cameron Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone:
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. CoRR abs/2506.10326 (2025) - [i7]Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone:
SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation. CoRR abs/2509.08757 (2025) - [i6]Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Akash Kundu, Aliaksei Korshuk, Ananya Ananya, Arrasy Rahman, Avinaash Anand Kulandaivel, Bain McHale, Beining Zhang, Buyantuev Alexander, Carlos Saith Rodriguez Rojas, Caroline Wang, Chetan Talele, Chenao Liu, Chichen Lin, Diana Riazi, Di Yang Shi, Emanuel Tewolde, Elizaveta Tennant, Fangwei Zhong, Fuyang Cui, Gang Zhao, Gema Parreño Piqueras, Hyeonggeun Yun, Ilya Makarov, Jiaxun Cui, Jebish Purbey, Jim Dilkes, Jord Nguyen, Lingyun Xiao, Luis Felipe Giraldo, Manuela Chacon-Chamorro, Manuel Sebastian Rios Beltran, Marta Emili Garcia Segura, Mengmeng Wang, Mogtaba Alim, Nicanor Quijano, Nico Schiavone, Olivia Macmillan-Scott, Oswaldo Peña, Peter Stone, Ram Mohan Rao Kadiyala, Rolando Fernandez, Rubén Manrique, Sunjia Lu, Sheila A. McIlraith, Shamika Dhuri, Shuqing Shi, Siddhant Gupta, Sneheel Sarangi, Sriram Ganapathi Subramanian, Taehun Cha, Toryn Q. Klassen, Wenming Tu, Weijian Fan, Wu Ruiyang, Xue Feng, Yali Du, Yang Liu, Yiding Wang, Yipeng Kang, Yoonchang Sung, Yuxuan Chen, Zhaowei Zhang, Zhihan Wang, Zhiqiang Wu, Ziang Chen, Zilong Zheng, Zixia Jia, Ziyan Wang, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo:
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. CoRR abs/2512.03318 (2025) - [i5]Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, Peter Stone:
Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input. CoRR abs/2512.06571 (2025) - 2024
- [c5]Muhammad Rahman, Jiaxun Cui, Peter Stone:
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. AAAI 2024: 17523-17530 - [c4]Jiaxun Cui:
Communication and Generalization in Multi-Agent Learning. AAMAS 2024: 2728-2730 - 2023
- [c3]Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian:
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. ICLR 2023 - [i4]Arrasy Rahman, Jiaxun Cui, Peter Stone:
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. CoRR abs/2308.09595 (2023) - 2022
- [c2]Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu:
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. CVPR 2022: 17231-17241 - [i3]Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu:
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles. CoRR abs/2205.02222 (2022) - 2021
- [c1]Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies for Reducing Traffic Congestion. AAMAS 2021: 386-394 - [i2]Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies For Reducing Traffic Congestion. CoRR abs/2103.00058 (2021) - [i1]Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone:
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. CoRR abs/2112.03759 (2021)
Coauthor Index
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