Clune, Jeff

34 publications

ICLRW 2025 Automated Capability Discovery via Model Self-Exploration Cong Lu, Shengran Hu, Jeff Clune

ICLR 2025 Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

ICLR 2025 Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu, Shengran Hu, Jeff Clune

ICLR 2025 OMNI-EPIC: Open-Endedness via Models of Human Notions of Interestingness with Environments Programmed in Code Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

NeurIPSW 2024 Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

NeurIPSW 2024 Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

NeurIPSW 2024 Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

NeurIPSW 2024 Automated Design of Agentic Systems Shengran Hu, Cong Lu, Jeff Clune

NeurIPSW 2024 Beyond Benchmarking: Automated Capability Discovery via Model Self-Exploration Cong Lu, Shengran Hu, Jeff Clune

NeurIPS 2024 First-Explore, Then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs Ben Norman, Jeff Clune

NeurIPSW 2024 First-Explore, Then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs Ben Norman, Jeff Clune

NeurIPSW 2024 First-Explore, Then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs Ben Norman, Jeff Clune

ICML 2024 Genie: Generative Interactive Environments Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando De Freitas, Satinder Singh, Tim Rocktäschel

ICMLW 2024 Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu, Shengran Hu, Jeff Clune

NeurIPSW 2024 OMNI-EPIC: Open-Endedness via Models of Human Notions of Interestingness with Environments Programmed in Code Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

ICLR 2024 OMNI: Open-Endedness via Models of Human Notions of Interestingness Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune

ICML 2024 Quality Diversity Through Human Feedback: Towards Open-Ended Diversity-Driven Optimization Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

NeurIPSW 2024 Quality-Diversity Self-Play: Open-Ended Strategy Innovation via Foundation Models Aaron Dharna, Cong Lu, Jeff Clune

NeurIPSW 2024 Quality-Diversity Self-Play: Open-Ended Strategy Innovation via Foundation Models Aaron Dharna, Cong Lu, Jeff Clune

ICLR 2024 Quality-Diversity Through AI Feedback Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman

NeurIPSW 2023 OMNI: Open-Endedness via Models of Human Notions of Interestingness Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune

NeurIPSW 2023 Quality Diversity Through Human Feedback Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

NeurIPSW 2023 Quality-Diversity Through AI Feedback Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman

NeurIPS 2023 Thought Cloning: Learning to Think While Acting by Imitating Human Thinking Shengran Hu, Jeff Clune

NeurIPS 2022 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune

IJCAI 2019 An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

ICLR 2019 Backpropamine: Training Self-Modifying Neural Networks with Differentiable Neuromodulated Plasticity Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley

ICML 2018 Differentiable Plasticity: Training Plastic Neural Networks with Backpropagation Thomas Miconi, Kenneth Stanley, Jeff Clune

NeurIPS 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth Stanley, Jeff Clune

CVPR 2017 Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski

ICLR 2016 Convergent Learning: Do Different Neural Networks Learn the Same Representations? Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft

NeurIPS 2016 Synthesizing the Preferred Inputs for Neurons in Neural Networks via Deep Generator Networks Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune

CVPR 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Nguyen, Jason Yosinski, Jeff Clune

NeurIPS 2014 How Transferable Are Features in Deep Neural Networks? Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson