arXiv:2608.20009v1 Announce Type: new Abstract: Understanding object dynamics requires not only predicting future trajectories but also examining whether…
Author: script
EXIMO: VLM Guided Exploration of VLA Policies
arXiv:2608.19891v1 Announce Type: new Abstract: How to efficiently finetune robot policies to learn new tasks on the fly? State of the art robotic…
Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis
arXiv:2608.19902v1 Announce Type: new Abstract: AI agents can execute scientific analyses, but an analytic output becomes a defensible claim only after…
Spike-based Belief Propagation in Nonlinear Dynamical Systems
arXiv:2608.19907v1 Announce Type: new Abstract: This paper presents a Bayesian control framework that integrates spike-based dynamics with probabilistic…
Write Once, Run Everywhere: The Axon DSL for Shape-Safe and Framework-Agnostic LLM Architectures
arXiv:2608.19889v1 Announce Type: new Abstract: The entire ecosystem of open-source language models effectively relies on a single platform. What if this…
A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model
arXiv:2608.19932v1 Announce Type: new Abstract: Public cardiac cohorts annotate different subsets of the heart, so shapes from separate sources cannot be…
AI News Brief Hourly Summary 2026-08-21 09h : 13 posts
13 posts published in the last hour 06:32SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning 06:32TESTNAV: Pareto-Guided Search for Compositional Robustness Testing 06:32EnvHarness: Awakening Static Worlds for Agent Learning 06:32KnowledgeForge: mining gold from the ITSM ticket graveyard 06:32Specification-delta-driven data…
SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning
arXiv:2608.19842v1 Announce Type: new Abstract: Agentic reinforcement learning (RL) has become a critical stage in the post-training of large language…
TESTNAV: Pareto-Guided Search for Compositional Robustness Testing
arXiv:2608.19882v1 Announce Type: new Abstract: Deep learning models remain vulnerable to real-world input perturbations, especially when multiple…
EnvHarness: Awakening Static Worlds for Agent Learning
arXiv:2608.19880v1 Announce Type: new Abstract: LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind…