State-of-the-art concepts
Derived from 100 curated works via tfidf_kmeans analysis.
Key concepts (curated, ranked by prevalence)
How many of the 100 curated works engage each open-endedness concept,
detected across full text + abstracts.
-
Open-ended learning
85
-
Reinforcement learning
73
-
Exploration
67
-
Evolutionary computation
57
-
Large language models (LLMs)
56
-
Reward & objective design
48
-
In-context learning
44
-
Unsupervised environment design
43
-
POET / paired open-ended
43
-
Multi-agent systems
43
-
Auto-curricula
39
-
Autonomous / LLM agents
39
-
Intrinsic motivation & curiosity
38
-
Generative models
35
-
Quality-diversity
35
-
Emergent abilities
34
-
Embodied agents
34
-
Artificial life
32
-
Recursive self-improvement
30
-
Coevolution
30
-
Self-play
27
-
Meta-learning
26
-
Lifelong & continual learning
26
-
Novelty search
26
-
Compositionality
25
-
AI-generating algorithms (AI-GAs)
25
-
Procedural content generation
25
-
Program synthesis & code generation
22
-
Autotelic / goal generation
22
-
World models
20
-
MAP-Elites
19
-
Diversity-driven search
17
-
Automated scientific discovery
15
-
Red-teaming & adversarial generation
13
-
Cellular automata & self-replication
9
-
Cultural accumulation
6
-
Self-organization
4
Theme clusters (the "majority vote")
agent, grand, automated
24 works · agent, grand, automated, science, meta
24 papers in this cluster
- Automated design of agentic systems
- Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
- Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
- The AI Scientist: Towards fully automated open-ended scientific discovery
- Hyperagents
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
- Learning to Continually Learn via Meta-learning Agentic Memory Designs
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
- Evolutionary Optimization of Model Merging Recipes
- Automated Capability Discovery via Model Self-Exploration
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
- AgenticRed: Optimizing Agentic Systems for Automated Red-teaming
- Augmentative Topology Agents For Open-Ended Learning
- Practical PCG Through Large Language Models
- Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
- The Science of Intelligent Exploration
- Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
- Open-endedness: The last grand challenge you’ve never heard of
- The Future of AI is Open-Ended
- AI That Can Improve Itself
- EvoCraft: A New Challenge for Open-Endedness
- Novel Opportunities in Open-Endedness
agent, objective, environment
16 works · agent, objective, environment, reward, knowledge
16 papers in this cluster
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
- Open-Ended Learning Leads to Generally Capable Agents
- Language and Culture Internalisation for Human-Like Autotelic AI
- Motif: Intrinsic Motivation from Artificial Intelligence Feedback
- RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
- Augmenting Autotelic Agents with Large Language Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Reward-Free Curricula for Training Robust World Models
- SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
- OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
- Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
- Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
- DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
- Managing extreme AI risks amid rapid progress
- Open-Endedness is Essential for Artificial Superhuman Intelligence
- Why Greatness Cannot Be Planned: The Myth of the Objective
intelligence, discovery, foundation
13 works · intelligence, discovery, foundation, era, agent
13 papers in this cluster
- Dreaming in Code for Curriculum Learning in Open-Ended Worlds
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
- CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
- OMNI: Open-endedness via Models of human Notions of Interestingness
- Environment Generation for Zero-Shot Compositional Reinforcement Learning
- Safety is Essential for Responsible Open-Ended Systems
- General Intelligence Requires Rethinking Exploration
- In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
- Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
- Word2World: Generating Stories and Worlds through Large Language Models
- Bootstrapping Intelligence: Self-Improving Systems for Open-Ended Discovery
- Watts: Infrastructure for Open-Ended Learning
- Open-ended and AI-generating algorithms in the era of foundation models
rl, environment design, training
13 works · rl, environment design, training, policy, regret
13 papers in this cluster
- Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
- Replay-Guided Adversarial Environment Design
- MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
- Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
- Grounding Aleatoric Uncertainty in Unsupervised Environment Design
- Evolving Curricula with Regret-Based Environment Design
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
- Human-Timescale Adaptation in an Open-Ended Task Space
- Multi-Agent Diagnostics for Robustness via Illuminated Diversity
- Prioritized Level Replay
- Evolution and The Knightian Blindspot of Machine Learning
- Evolution through Large Models
- Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization?
quality diversity, qd, diverse
10 works · quality diversity, qd, diverse, high, search
10 papers in this cluster
- Quality Diversity through Human Feedback
- Large Language Models as In-context AI Generators for Quality-Diversity
- Quality-Diversity through AI Feedback
- Generative Design through Quality-Diversity Data Synthesis and Language Models
- Improving Deep Reinforcement Learning via Quality Diversity, Open-Ended and AI-Generating Algorithms
- Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
- Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
- Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
- Eureka: Human-Level Reward Design via Coding Large Language Models
- Discovering Preference Optimization Algorithms with and for Large Language Models
interactive, base, llm
7 works · interactive, base, llm, video, testbed
7 papers in this cluster
- Genie: Generative Interactive Environments
- SerendipityLM: Interactive evolutionary exploration of generative design spaces with large language models
- Interactive poetry breeding through Mixtral base model LLMs
- Debating with More Persuasive LLMs Leads to More Truthful Answers
- DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
- Deep Laplacian-based Options for Temporally-Extended Exploration
- Video Games as a Testbed for Open-Ended Phenomena
innovation, world, paired trailblazer poet
7 works · innovation, world, paired trailblazer poet
7 papers in this cluster
- Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
- Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
- Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer (POET)
- Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
- Co-generation of game levels and game-playing agents
- Open-ended search for environments and adapted agents using map-elites
- Open-Endedness, World Models, and the Automation of Innovation
minimal criterion, search, exploiting
5 works · minimal criterion, search, exploiting, collective, novelty
5 papers in this cluster
- Minimal Criterion Coevolution: A New Approach to Open-Ended Search
- Minimal Criterion Artist Collective
- Transfer Dynamics in Emergent Evolutionary Curricula
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
- Exploiting Open-Endedness to Solve Problems Through the Search for Novelty
identifying, changing, evolution artificial life
5 works · identifying, changing, evolution artificial life, necessary condition
5 papers in this cluster
- Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria
- Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity
- Identifying Life-Changing Books with LLMs
- Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
- Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
Dominant vocabulary (consensus keyphrases)
- agent (2.1702)
- environment (1.7942)
- llm (1.3859)
- world (1.3409)
- language (1.3008)
- search (1.2987)
- design (1.2539)
- diverse (1.2289)
- reinforcement (1.2182)
- exploration (1.1796)
- large (1.1171)
- foundation (1.1034)
- domain (1.1026)
- diversity (1.0727)
- game (1.0386)
- training (1.0068)
- evocraft (1.0)
- generate (0.9931)
- discovery (0.9752)
- evolution (0.9544)