{"total":74,"rows":[{"id":"2408.08435","title":"Automated Design of Agentic Systems","created":"2024-08-15","cited_by_count":407,"area":"agents"},{"id":"2411.15114","title":"RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts","created":"2024-11-22","cited_by_count":175,"area":"agents"},{"id":"2606.15497","title":"Towards End-to-End Automation of AI Research","created":"2026-03-31","cited_by_count":159,"area":null},{"id":"2406.04268","title":"Open-Endedness is Essential for Artificial Superhuman Intelligence","created":"2024-06-06","cited_by_count":80,"area":null},{"id":"2504.15228","title":"A Self-Improving Coding Agent","created":"2025-04-21","cited_by_count":79,"area":"agents"},{"id":"2507.02554","title":"AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench","created":"2025-07-03","cited_by_count":71,"area":"agents"},{"id":"2506.01716","title":"Self-Challenging Language Model Agents","created":"2025-06-02","cited_by_count":59,"area":"agents"},{"id":"2412.13194","title":"Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents","created":"2024-12-17","cited_by_count":50,"area":"agents"},{"id":"2602.04837","title":"Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing","created":"2026-02-04","cited_by_count":36,"area":"synth"},{"id":"2512.04797","title":"SIMA 2: A Generalist Embodied Agent for Virtual Worlds","created":"2025-12-04","cited_by_count":31,"area":"agents"},{"id":"2505.11581","title":"Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis","created":"2025-05-16","cited_by_count":22,"area":null},{"id":"2412.17799","title":"Automating the Search for Artificial Life with Foundation Models","created":"2024-12-23","cited_by_count":20,"area":null},{"id":"2605.09423","title":"SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning","created":"2026-05-10","cited_by_count":17,"area":"agents"},{"id":"2506.05109","title":"Truly Self-Improving Agents Require Intrinsic Metacognitive Learning","created":"2025-06-05","cited_by_count":15,"area":"synth"},{"id":"2507.15550","title":"PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors","created":"2025-07-21","cited_by_count":15,"area":"agents"},{"id":"2506.04287","title":"Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback","created":"2025-06-04","cited_by_count":12,"area":"agents"},{"id":"2608.19197","title":"SPADE: Self-Play in Adaptive Synthetic Executable Environments","created":"2026-08-19","cited_by_count":12,"area":"synth"},{"id":"2501.13075","title":"Evolution and The Knightian Blindspot of Machine Learning","created":"2025-01-22","cited_by_count":11,"area":null},{"id":"2609.11873","title":"The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement","created":"2026-09-10","cited_by_count":11,"area":"synth"},{"id":"2410.01791","title":"DreamGarden: A Designer Assistant for Growing Games from a Single Prompt","created":"2024-10-02","cited_by_count":10,"area":null},{"id":"2502.07577","title":"Automated Capability Discovery via Foundation Model Self-Exploration","created":"2025-02-11","cited_by_count":10,"area":null},{"id":"2509.04575","title":"Bootstrapping Task Spaces for Self-Improvement","created":"2025-09-04","cited_by_count":10,"area":"synth"},{"id":"2409.16876","title":"Automating Traffic Model Enhancement with AI Research Agent","created":"2024-09-25","cited_by_count":8,"area":"agents"},{"id":"2506.09272","title":"G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2601.03335","title":"Digital Red Queen: Adversarial Program Evolution in Core War with LLMs","created":"2026-01-06","cited_by_count":7,"area":null},{"id":"2507.17668","title":"How Should We Meta-Learn Reinforcement Learning Algorithms?","created":"2025-07-23","cited_by_count":5,"area":"deeprl"},{"id":"2510.01764","title":"Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX","created":"2025-10-02","cited_by_count":5,"area":"deeprl"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2407.03969","title":"Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2608.14354","title":"ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond","created":"2026-08-14","cited_by_count":4,"area":"agents"},{"id":"2605.14445","title":"FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale","created":"2026-05-14","cited_by_count":3,"area":null},{"id":"2605.14831","title":"Interestingness as an Inductive Heuristic for Future Compression Progress","created":"2026-05-14","cited_by_count":3,"area":null},{"id":"2608.23875","title":"AI Finds A Way","created":"2026-08-24","cited_by_count":3,"area":null},{"id":"2411.11318","title":"Syllabus: Portable Curricula for Reinforcement Learning Agents","created":"2024-11-18","cited_by_count":2,"area":"deeprl"},{"id":"2503.01062","title":"Offline RLAIF: Piloting VLM Feedback for RL via SFO","created":"2025-03-02","cited_by_count":2,"area":"mllm"},{"id":"2504.15472","title":"LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning","created":"2025-04-21","cited_by_count":2,"area":"alignment"},{"id":"2505.15998","title":"Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics","created":"2025-05-21","cited_by_count":2,"area":"deeprl"},{"id":"2507.08584","title":"To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions","created":"2025-07-11","cited_by_count":2,"area":"agents"},{"id":"2509.17192","title":"Shall We Play a Game? Language Models for Open-ended Wargames","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2511.12706","title":"Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs","created":"2025-11-16","cited_by_count":2,"area":"deeprl"},{"id":"2606.25198","title":"Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty","created":"2026-06-23","cited_by_count":2,"area":"agents"},{"id":"2609.19801","title":"DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum","created":"2026-09-17","cited_by_count":2,"area":"agents"},{"id":"2506.23626","title":"Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games","created":"2025-06-30","cited_by_count":1,"area":"agents"},{"id":"2509.22447","title":"Guiding Evolution of Artificial Life Using Vision-Language Models","created":"2025-09-26","cited_by_count":1,"area":"mllm"},{"id":"2510.00922","title":"On Discovering Algorithms for Adversarial Imitation Learning","created":"2025-10-01","cited_by_count":1,"area":"offlinerl"},{"id":"2512.08139","title":"Robust Agents in Open-Ended Worlds","created":"2025-12-09","cited_by_count":1,"area":"agents"},{"id":"2602.10891","title":"Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2603.28386","title":"COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game","created":"2026-03-30","cited_by_count":1,"area":null},{"id":"2607.23605","title":"Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning","created":"2026-07-26","cited_by_count":1,"area":"mllm"},{"id":"2608.10299","title":"Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design","created":"2026-08-10","cited_by_count":1,"area":"agents"},{"id":"2609.09163","title":"World-Time Compute with Verified Code World Models","created":"2026-07-07","cited_by_count":1,"area":"wm"},{"id":"2609.36012","title":"In-Context Learning for Robots: Methods and Applications","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2502.07423","title":"Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation","created":"2025-02-11","cited_by_count":0,"area":"deeprl"},{"id":"2507.00079","title":"VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2508.14751","title":"HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents","created":"2025-08-20","cited_by_count":0,"area":"agents"},{"id":"2510.02180","title":"GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning","created":"2025-10-02","cited_by_count":0,"area":"alignment"},{"id":"2510.20849","title":"Cultural Alien Sampler: Open-ended art generation balancing originality and coherence","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2601.01931","title":"D\\'ej\\`aQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems","created":"2026-01-05","cited_by_count":0,"area":"lr"},{"id":"2603.03295","title":"Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task","created":"2026-02-06","cited_by_count":0,"area":"agents"},{"id":"2604.05859","title":"When Do We Need LLMs? A Diagnostic for Language-Driven Bandits","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2606.08369","title":"An Information-Theoretic Definition for Open-Ended Learning","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2606.20210","title":"Augmenting Game AI with Deep Reinforcement Learning","created":"2026-06-18","cited_by_count":0,"area":"deeprl"},{"id":"2607.08193","title":"Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs","created":"2026-07-09","cited_by_count":0,"area":"mllm"},{"id":"2607.13608","title":"Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System","created":"2026-07-15","cited_by_count":0,"area":"agents"},{"id":"2609.07575","title":"Efficient Exploration Is Enough","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.09059","title":"PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.22592","title":"AutoGym: Blueprint-First Generation of Verifiable Agent Gyms","created":"2026-09-18","cited_by_count":0,"area":"agents"},{"id":"2609.32698","title":"SEES: A Self-Evolving Embodied System via Failure-Guided VLA Policy Adaptation","created":"2026-09-26","cited_by_count":0,"area":"vla"},{"id":"2609.35328","title":"Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.07130","title":"Is this machine playing?","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.13995","title":"GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games","created":"2026-09-26","cited_by_count":0,"area":"synth"},{"id":"2610.15328","title":"Anchor-and-Harvest Curriculum: A Fully Unmasked Non-LLM Curriculum for Craftax","created":"2026-10-11","cited_by_count":0,"area":null},{"id":"2610.17246","title":"LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific Generators","created":"2026-10-12","cited_by_count":0,"area":"lr"},{"id":"2610.19420","title":"From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents","created":"2026-10-14","cited_by_count":0,"area":"agents"}],"next_cursor":null}