Image de couverture de livre

Self-Improving AI Agents through Self-Play

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Chojecki, Przemyslaw
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Psychometric Tests for AI Agents and Their Moduli Space
par: Chojecki, Przemyslaw
Publié: (2025)

Mathematics and Coding are Universal AI Benchmarks
par: Chojecki, Przemyslaw
Publié: (2025)

The Geometry of Benchmarks: A New Path Toward AGI
par: Chojecki, Przemyslaw
Publié: (2025)

An Operational Kardashev-Style Scale for Autonomous AI - Towards AGI and Superintelligence
par: Chojecki, Przemyslaw
Publié: (2025)

Learning Robust Reasoning through Guided Adversarial Self-Play
par: Li, Shuozhe, et autres
Publié: (2026)

On The Statistical Limits of Self-Improving Agents
par: Wang, Charles L., et autres
Publié: (2025)

VideoAgent: Self-Improving Video Generation
par: Soni, Achint, et autres
Publié: (2024)

Toward Training Superintelligent Software Agents through Self-Play SWE-RL
par: Wei, Yuxiang, et autres
Publié: (2025)

Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
par: Sokota, Samuel, et autres
Publié: (2025)

Experiential Reflective Learning for Self-Improving LLM Agents
par: Allard, Marc-Antoine, et autres
Publié: (2026)

Continual Harness: Online Adaptation for Self-Improving Foundation Agents
par: Karten, Seth, et autres
Publié: (2026)

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
par: Tan, Zhewen, et autres
Publié: (2026)

Robust Autonomy Emerges from Self-Play
par: Cusumano-Towner, Marco, et autres
Publié: (2025)

RSPO: Regularized Self-Play Alignment of Large Language Models
par: Tang, Xiaohang, et autres
Publié: (2025)

Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
par: Polowczyk, Agnieszka, et autres
Publié: (2025)

Self-Improving LLM Agents at Test-Time
par: Acikgoz, Emre Can, et autres
Publié: (2025)

Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
par: Wang, Ru, et autres
Publié: (2025)

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
par: He, Yufei, et autres
Publié: (2025)

Self-Play Reinforcement Learning under Imperfect Information in Big 2
par: Patwa, Aalok
Publié: (2026)

Soft Self-Consistency Improves Language Model Agents
par: Wang, Han, et autres
Publié: (2024)

Model Science: getting serious about verification, explanation and control of AI systems
par: Biecek, Przemyslaw, et autres
Publié: (2025)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
par: Cheng, Jiale, et autres
Publié: (2024)

Self-Play Preference Optimization for Language Model Alignment
par: Wu, Yue, et autres
Publié: (2024)

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
par: Dharna, Aaron, et autres
Publié: (2025)

WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
par: Li, Fangyuan, et autres
Publié: (2026)

Self-Improving Robust Preference Optimization
par: Choi, Eugene, et autres
Publié: (2024)

CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
par: Hu, Zhangyi, et autres
Publié: (2026)

Training Agents to Self-Report Misbehavior
par: Lee, Bruce W., et autres
Publié: (2026)

AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
par: Aggarwal, Pranjal, et autres
Publié: (2024)

Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification
par: Barone, Antonio Valerio Miceli, et autres
Publié: (2026)

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
par: Li, Hanchen, et autres
Publié: (2026)

Large Language Models Can Self-Improve At Web Agent Tasks
par: Patel, Ajay, et autres
Publié: (2024)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve
par: Qu, Yuxiao, et autres
Publié: (2024)

Self-Improving Diffusion Models with Synthetic Data
par: Alemohammad, Sina, et autres
Publié: (2024)

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
par: Liu, Bo, et autres
Publié: (2025)

Heterogeneous Self-Play for Realistic Highway Traffic Simulation
par: Qiu, Jinkai, et autres
Publié: (2026)

AgentOCR: Reimagining Agent History via Optical Self-Compression
par: Feng, Lang, et autres
Publié: (2026)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
par: Luo, Fu, et autres
Publié: (2024)

Annealing Self-Distillation Rectification Improves Adversarial Training
par: Wu, Yu-Yu, et autres
Publié: (2023)

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
par: Qiao, Dan, et autres
Publié: (2024)