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2020 – today
- 2025
[c9]Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune:
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. ICLR 2025- [c8]Siyu Dai, Xibai Lou, Petter Nilsson, Shantanu Thakar, Cassie Meeker, Ariel Gordon, Xiangxin Kong, Jenny Zhang, Benjamin Knoerlein, Ruguan Liu, Bhavana Chandrashekhar, Sisir Karumanchi:
Depth Estimation Through Translucent Surfaces. ICRA 2025: 1550-1557 - [i10]Jenny Zhang, Shengran Hu, Cong Lu, Robert T. Lange, Jeff Clune:
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents. CoRR abs/2505.22954 (2025) - [i9]Alexis Audran-Reiss, Jordi Armengol-Estapé, Karen Hambardzumyan, Amar Budhiraja, Martin Josifoski, Edan Toledo, Rishi Hazra, Despoina Magka, Michael Shvartsman, Parth Pathak, Justine T. Kao, Lucia Cipolina-Kun, Bhavul Gauri, Jean-Christophe Gagnon-Audet, Emanuel Tewolde, Jenny Zhang, Taco Cohen, Yossi Adi, Tatiana Shavrina, Yoram Bachrach:
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity. CoRR abs/2511.15593 (2025) - 2024
- [j1]Anastasia K. Ostrowski
, Jenny Zhang, Cynthia Breazeal, Hae Won Park:
Promising directions for human-robot interactions defined by older adults. Frontiers Robotics AI 11 (2024) - [c7]Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. ICLR 2024 - [c6]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR 2024 - [c5]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. ICML 2024 - [c4]Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim:
Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback. ICRA 2024: 3426-3433 - [c3]Jack Naish, Jacob Rodriguez, Jenny Zhang, Bryson Jones, Guglielmo Daddi, Andrew L. Orekhov, Rob Royce, Michael Paton, Howie Choset, Masahiro Ono, Rohan Thakker:
Reinforcement learning-driven parametric curve fitting for snake robot gait design. L4DC 2024: 1715-1727 - [c2]Takehiko Nagakura, Han Tu, Wenzhe Peng, Chili Cheng, Jenny Zhang, Xiaoyun Zhang, Woongki Sung, Katsuyoshi Ishikawa, Shineng Luke Wu, Jia Hui Joey Ong, Nobuo Iwashita, Hisakata Kobayashi:
Singapore GeAR. SIGGRAPH Appy Hour 2024: 8 - [i8]Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim:
Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback. CoRR abs/2402.08662 (2024) - [i7]Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune:
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR abs/2405.15568 (2024) - 2023
- [c1]Jenny Zhang, Ding Li, Jiaqi Hu:
It's High Time to Turn Off the High Lights! CSAE 2023: 23:1-23:11 - [i6]Daniel Chee Hian Tan, Jenny Zhang, Meng Yee Michael Chuah, Zhibin Li:
Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains. CoRR abs/2301.10894 (2023) - [i5]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Robustness of Utilizing Feedback in Embodied Visual Navigation. CoRR abs/2303.15453 (2023) - [i4]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR abs/2306.01711 (2023) - [i3]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback. CoRR abs/2310.12103 (2023) - [i2]Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. CoRR abs/2310.13032 (2023) - 2022
- [i1]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation. CoRR abs/2206.10606 (2022)
Coauthor Index
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