State-of-the-art concepts
Derived from 103 curated works via tfidf_kmeans analysis.
Key concepts (curated, ranked by prevalence)
How many of the 103 curated works engage each open-endedness concept,
detected across full text + abstracts.
-
Open-ended learning
89
-
Reinforcement learning
77
-
Exploration
71
-
Evolutionary computation
59
-
Large language models (LLMs)
58
-
Reward & objective design
50
-
In-context learning
45
-
POET / paired open-ended
45
-
Unsupervised environment design
44
-
Multi-agent systems
44
-
Auto-curricula
41
-
Autonomous / LLM agents
41
-
Intrinsic motivation & curiosity
41
-
Generative models
38
-
Embodied agents
37
-
Quality-diversity
37
-
Emergent abilities
35
-
Recursive self-improvement
33
-
Artificial life
32
-
Coevolution
31
-
Compositionality
29
-
Self-play
29
-
Lifelong & continual learning
29
-
Meta-learning
28
-
AI-generating algorithms (AI-GAs)
28
-
Novelty search
28
-
Procedural content generation
26
-
Program synthesis & code generation
24
-
Autotelic / goal generation
23
-
World models
21
-
MAP-Elites
20
-
Diversity-driven search
18
-
Automated scientific discovery
16
-
Red-teaming & adversarial generation
13
-
Cellular automata & self-replication
10
-
Cultural accumulation
7
-
Self-organization
4
Theme clusters (the "majority vote")
world, llm, grand
17 works · world, llm, grand, innovation, large language
17 papers in this cluster
- Word2World: Generating Stories and Worlds through Large Language Models
- Eureka: Human-Level Reward Design via Coding Large Language Models
- Practical PCG Through Large Language Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Dreaming in Code for Curriculum Learning in Open-Ended Worlds
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
- Motif: Intrinsic Motivation from Artificial Intelligence Feedback
- OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
- Evolution through Large Models
- Debating with More Persuasive LLMs Leads to More Truthful Answers
- Watts: Infrastructure for Open-Ended Learning
- Open-Endedness, World Models, and the Automation of Innovation
- Open-endedness: The last grand challenge you’ve never heard of
- Novel Opportunities in Open-Endedness
- EvoCraft: A New Challenge for Open-Endedness
- The Future of AI is Open-Ended
- AI That Can Improve Itself
poet, solve, novelty
16 works · poet, solve, novelty, environment, game
16 papers in this cluster
- Co-generation of game levels and game-playing agents
- Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
- Transfer Dynamics in Emergent Evolutionary Curricula
- 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
- Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity
- Open-ended search for environments and adapted agents using map-elites
- RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
- Language and Culture Internalisation for Human-Like Autotelic AI
- Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
- DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
- Exploiting Open-Endedness to Solve Problems Through the Search for Novelty
- Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria
- Video Games as a Testbed for Open-Ended Phenomena
rl, environment design, agent
15 works · rl, environment design, agent, policy, regret
15 papers in this cluster
- Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
- Replay-Guided Adversarial Environment Design
- Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
- Grounding Aleatoric Uncertainty in Unsupervised Environment Design
- MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
- Evolving Curricula with Regret-Based Environment Design
- Reward-Free Curricula for Training Robust World Models
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
- Environment Generation for Zero-Shot Compositional Reinforcement Learning
- Open-Ended Learning Leads to Generally Capable Agents
- Human-Timescale Adaptation in an Open-Ended Task Space
- Prioritized Level Replay
- Evolution and The Knightian Blindspot of Machine Learning
- Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization?
- Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
agent, foundation, era
15 works · agent, foundation, era, meta, machine
15 papers in this cluster
- Automated design of agentic systems
- Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
- 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
- Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
- Automated Capability Discovery via Model Self-Exploration
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- Augmentative Topology Agents For Open-Ended Learning
- Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
- OMNI: Open-endedness via Models of human Notions of Interestingness
- Open-ended and AI-generating algorithms in the era of foundation models
- Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
intelligence, objective, discovery
13 works · intelligence, objective, discovery, representation, research
13 papers in this cluster
- Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI
- Safety is Essential for Responsible Open-Ended Systems
- General Intelligence Requires Rethinking Exploration
- A Compositional Framework for Open-ended Intelligence
- Open-Endedness is Essential for Artificial Superhuman Intelligence
- Managing extreme AI risks amid rapid progress
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
- Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
- CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
- Bootstrapping Intelligence: Self-Improving Systems for Open-Ended Discovery
- DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
- Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
- Why Greatness Cannot Be Planned: The Myth of the Objective
llm, prompt, state art
11 works · llm, prompt, state art, teaming, identifying
11 papers in this cluster
- Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
- Evolutionary Optimization of Model Merging Recipes
- Discovering Preference Optimization Algorithms with and for Large Language Models
- AgenticRed: Optimizing Agentic Systems for Automated Red-teaming
- DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
- Multi-Agent Diagnostics for Robustness via Illuminated Diversity
- Deep Laplacian-based Options for Temporally-Extended Exploration
- SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
- Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
- Identifying Life-Changing Books with LLMs
quality diversity, qd, solution
9 works · quality diversity, qd, solution, search, language
9 papers in this cluster
- Quality-Diversity through AI Feedback
- Quality Diversity through Human Feedback
- Large Language Models as In-context AI Generators for Quality-Diversity
- Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
- Improving Deep Reinforcement Learning via Quality Diversity, Open-Ended and AI-Generating Algorithms
- Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
- In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
- Augmenting Autotelic Agents with Large Language Models
- Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
interactive, generative design, exploration
5 works · interactive, generative design, exploration, base, science
5 papers in this cluster
- SerendipityLM: Interactive evolutionary exploration of generative design spaces with large language models
- Generative Design through Quality-Diversity Data Synthesis and Language Models
- Interactive poetry breeding through Mixtral base model LLMs
- Genie: Generative Interactive Environments
- The Science of Intelligent Exploration
minimal criterion, collective, search
2 works · minimal criterion, collective, search
2 papers in this cluster
- Minimal Criterion Coevolution: A New Approach to Open-Ended Search
- Minimal Criterion Artist Collective
Dominant vocabulary (consensus keyphrases)
- agent (2.1954)
- environment (1.8121)
- llm (1.3945)
- world (1.3573)
- search (1.3125)
- language (1.3118)
- design (1.2638)
- reinforcement (1.2541)
- diverse (1.2405)
- exploration (1.1975)
- large (1.1359)
- domain (1.1216)
- foundation (1.1091)
- diversity (1.0779)
- training (1.0573)
- game (1.0437)
- generate (1.0123)
- intelligence (1.0106)
- evocraft (1.0)
- discovery (0.9818)