Cover Image

SIA: Self Improving AI with Harness & Weight Updates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hebbar, Prannay, Manawat, Yogendra, Verboomen, Samuel, Ivanova, Alesia, Palanimalai, Selvam, Bhatia, Kunal, Baskaran, Vignesh
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language I.2.6; I.2.11; I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)

Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)

On Convex Optimal Value Functions For POSGs
by: Cunha, Rafael F., et al.
Published: (2023)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025)

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)

PilotBench: A Benchmark for General Aviation Agents with Safety Constraints
by: Wu, Yalun, et al.
Published: (2026)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State
by: Zhu, Peiying, et al.
Published: (2026)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
by: Pinchuk, Mykola
Published: (2026)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)

Deployment-Time Reliability of Learned Robot Policies
by: Agia, Christopher
Published: (2026)

EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
by: Boik, John C., et al.
Published: (2025)

Privacy Preserving Multi Agent Path Finding
by: Lehman, Rotem Lev, et al.
Published: (2026)

Building Large-Scale Drone Defenses from Small-Team Strategies
by: Douglas, Grant, et al.
Published: (2026)

Toward Constraint Compliant Goal Formulation and Planning
by: Jones, Steven J., et al.
Published: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

Latent Cache Flow: Model-to-Model Communication Without Text
by: Rossi, Maximillian, et al.
Published: (2026)

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

Learning To Help: Training Models to Assist Legacy Devices
by: Wu, Yu, et al.
Published: (2024)

ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)

Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019)

ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)

StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
by: Schester, Larry, et al.
Published: (2024)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
by: Palma, Alessio, et al.
Published: (2026)

Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments
by: Nguyen, Ninh, et al.
Published: (2026)

Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents
by: Akarlar, Gokturk Aytug
Published: (2025)

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
by: Keçeci, Ertuğrul, et al.
Published: (2025)

An Explainable Collaborative Dialogue System using a Theory of Mind
by: Cohen, Philip R., et al.
Published: (2023)

Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory
by: Pawar, Urvi, et al.
Published: (2025)

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)

Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)

When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)