HORIZON
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Related Articles from SNS
AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?
arXiv:2606.05080v1 Announce Type: new Abstract: Scientific and engineering progress is fundamentally a long-horizon iterative process: proposing changes, running experiments, measuring outcomes, and continuously refining artifacts. Yet existing benchmarks for frontier models primarily evaluate either single-turn responses or short-horizon agent trajectories, failing to capture the challenges of sustained iterative improvement over extended time horizons. To address this gap, we introduce...
Optimal Finite-Horizon LQR Control for Traffic Flow via Variable Speed Limits
Announce Type: replace-cross Abstract: This article presents a finite-horizon linear quadratic regulator for the control of the first-order Lighthill-Whitham-Richards traffic model with a triangular fundamental diagram. The in-domain control action is realized through variable speed limits implemented as a source term in the governing hyperbolic partial differential equation. Unlike prior studies on infinite-horizon formulations, this article develops a finite-horizon LQR framework, deriving...
Learning to Bet for Horizon-Aware Anytime-Valid Testing
Announce Type: replace-cross Abstract: We develop horizon-aware anytime-valid tests and confidence sequences for bounded means under a strict deadline $N$. Using the betting/e-process framework, we cast horizon-aware betting as a finite-horizon optimal control problem with state space $(t, \log W_t)$, where $t$ is the time and $W_t$ is the test martingale value. We first show that in certain interior regions of the state space, policies that deviate significantly from Kelly betting are...
Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models
Announce Type: new Abstract: Long-horizon maritime trajectory prediction is important for shipping management, logistics planning, and maritime risk analysis, yet month-level forecasting remains insufficiently studied. Existing deep learning methods mainly focus on short- and mid-term coordinate extrapolation and often struggle to preserve route feasibility and destination correctness over extended horizons. This paper investigates joint long-horizon vessel trajectory and destination...
Clutch is an open-world driving game from the former creative director of Forza Horizon
Clutch is an open-world driving game from the former creative director of Forza Horizon It will be available in the spring of 2027 for the PlayStation 5, Xbox Series X|S and PC. Maverick Games, an independent studio founded and led by Mike Brown, has unveiled its debut game Clutch. Brown used to work at Playground Games and served as the creative director of Forza Horizon 5, taking over from Ralph Fulton, and a designer for Forza Horizon 4.
Horizon Hunters Gathering is holding another playtest on May 22
Horizon Hunters Gathering is holding another playtest on May 22 The spinoff co-op action game Horizon Hunters Gathering is holding another playtest from May 22 until May 25. Registration is already open via the PlayStation Beta Program, with availability on both PC and PS5.
Mixture of Horizons in Action Chunking
Announce Type: replace Abstract: Vision-language-action (VLA) models have shown remarkable capabilities in robotic manipulation, but their performance is sensitive to the $\textbf{action chunk length}$ used during training, termed $\textbf{horizon}$. Our empirical study reveals an inherent trade-off: longer horizons provide stronger global foresight but degrade fine-grained accuracy, while shorter ones sharpen local control yet struggle on long-term tasks, implying fixed choice of single...
LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis
Announce Type: new Abstract: Real-world data analysis is inherently iterative, yet existing benchmarks mostly evaluate isolated or short interactive tasks, leaving agents' ability to track evolving analytical context over long horizons untested. We introduce LongDS, a benchmark for long-horizon, multi-turn data analysis where agents must maintain, update, restore, and compose evolving analytical states. LongDS comprises 68 tasks constructed from real-world Kaggle notebooks, spanning 2,225...
SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
Announce Type: replace Abstract: Accurate long-horizon vessel trajectory prediction remains challenging due to compounded uncertainty from complex navigation behaviors and environmental factors. Existing methods often struggle to maintain global directional consistency, leading to drifting or implausible trajectories when extrapolated over long time horizons. To address this issue, we propose a semantic-key-point-conditioned trajectory modeling framework, in which future trajectories are...
Think Like a Pilot: Fine-Grained Long-Horizon UAV Navigation
arXiv:2606.06836v1 Announce Type: new Abstract: Language-guided UAV agents must execute long-horizon semantic instructions while producing smooth, physically feasible continuous flight commands, yet existing Vision-Language Navigation (VLN) benchmarks typically use discrete or coarse actions and existing UAV Vision-Language-Action (VLA) tasks focus on short, atomic maneuvers. To address this gap in UAV task settings, we introduce \textbf{FLIGHT}, a \textbf{F}ine-grained \textbf{L}ong-horizon...