Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Jenny, Hu, Shengran, Lu, Cong, Lange, Robert, Clune, Jeff |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025)
by: Lu, Cong, et al.
Published: (2025)
Automated Design of Agentic Systems
by: Hu, Shengran, et al.
Published: (2024)
by: Hu, Shengran, et al.
Published: (2024)
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
by: Lu, Cong, et al.
Published: (2024)
by: Lu, Cong, et al.
Published: (2024)
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
by: Hu, Shengran, et al.
Published: (2023)
by: Hu, Shengran, et al.
Published: (2023)
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
by: Dharna, Aaron, et al.
Published: (2025)
by: Dharna, Aaron, et al.
Published: (2025)
Learning to Continually Learn via Meta-learning Agentic Memory Designs
by: Xiong, Yiming, et al.
Published: (2026)
by: Xiong, Yiming, et al.
Published: (2026)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
by: Ding, Li, et al.
Published: (2023)
by: Ding, Li, et al.
Published: (2023)
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
by: Yamada, Yutaro, et al.
Published: (2025)
by: Yamada, Yutaro, et al.
Published: (2025)
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
by: Faldor, Maxence, et al.
Published: (2024)
by: Faldor, Maxence, et al.
Published: (2024)
OMNI: Open-endedness via Models of human Notions of Interestingness
by: Zhang, Jenny, et al.
Published: (2023)
by: Zhang, Jenny, et al.
Published: (2023)
Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
by: Wang, Wenyi, et al.
Published: (2025)
by: Wang, Wenyi, et al.
Published: (2025)
CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
by: Qu, Ao, et al.
Published: (2026)
by: Qu, Ao, et al.
Published: (2026)
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
by: Norman, Ben, et al.
Published: (2023)
by: Norman, Ben, et al.
Published: (2023)
Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing
by: Weng, Zhaotian, et al.
Published: (2026)
by: Weng, Zhaotian, et al.
Published: (2026)
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
by: Yin, Xunjian, et al.
Published: (2024)
by: Yin, Xunjian, et al.
Published: (2024)
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
by: Chen, Hui, et al.
Published: (2025)
by: Chen, Hui, et al.
Published: (2025)
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
by: Li, Yishan, et al.
Published: (2026)
by: Li, Yishan, et al.
Published: (2026)
LLM Agents Beyond Utility: An Open-Ended Perspective
by: Nachkov, Asen, et al.
Published: (2025)
by: Nachkov, Asen, et al.
Published: (2025)
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification
by: Guo, Yuxuan, et al.
Published: (2024)
by: Guo, Yuxuan, et al.
Published: (2024)
SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
by: Wu, Xuening, et al.
Published: (2025)
by: Wu, Xuening, et al.
Published: (2025)
On Creativity and Open-Endedness
by: Soros, L. B., et al.
Published: (2024)
by: Soros, L. B., et al.
Published: (2024)
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
by: Zhai, Shaopeng, et al.
Published: (2023)
by: Zhai, Shaopeng, et al.
Published: (2023)
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
by: Sigaud, Olivier, et al.
Published: (2023)
by: Sigaud, Olivier, et al.
Published: (2023)
Prism: An Evolutionary Memory Substrate for Multi-Agent Open-Ended Discovery
by: Mishra, Suyash
Published: (2026)
by: Mishra, Suyash
Published: (2026)
SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation
by: Vetcha, Nitin, et al.
Published: (2026)
by: Vetcha, Nitin, et al.
Published: (2026)
Hyperagents
by: Zhang, Jenny, et al.
Published: (2026)
by: Zhang, Jenny, et al.
Published: (2026)
DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
by: Röpke, Willem, et al.
Published: (2026)
by: Röpke, Willem, et al.
Published: (2026)
Yunjue Agent Tech Report: A Fully Reproducible, Zero-Start In-Situ Self-Evolving Agent System for Open-Ended Tasks
by: Li, Haotian, et al.
Published: (2026)
by: Li, Haotian, et al.
Published: (2026)
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
by: Matthews, Michael, et al.
Published: (2024)
by: Matthews, Michael, et al.
Published: (2024)
AEL: Agent Evolving Learning for Open-Ended Environments
by: Xu, Wujiang, et al.
Published: (2026)
by: Xu, Wujiang, et al.
Published: (2026)
JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
by: Ying, Lance, et al.
Published: (2026)
by: Ying, Lance, et al.
Published: (2026)
Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
by: Yuksel, Kamer Ali, et al.
Published: (2026)
by: Yuksel, Kamer Ali, et al.
Published: (2026)
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
by: Xie, Tianbao, et al.
Published: (2024)
by: Xie, Tianbao, et al.
Published: (2024)
O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)
by: Mei, Jianbiao, et al.
Published: (2025)
Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations
by: Chen, Jinkun, et al.
Published: (2025)
by: Chen, Jinkun, et al.
Published: (2025)
Pessimistic Verification for Open Ended Math Questions
by: Huang, Yanxing, et al.
Published: (2025)
by: Huang, Yanxing, et al.
Published: (2025)
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)
by: Li, Yu, et al.
Published: (2024)
Similar Items
-
Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025) -
Automated Design of Agentic Systems
by: Hu, Shengran, et al.
Published: (2024) -
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
by: Lu, Cong, et al.
Published: (2024) -
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
by: Hu, Shengran, et al.
Published: (2023) -
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
by: Dharna, Aaron, et al.
Published: (2025)