Abstract: Autonomous off-road navigation requires coping with unstructured terrain, intermittent obstacles, and tight real-time computational constraints, challenges that often exceed the capabilities ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

The best Battlefield 6 Portal maps and codes are a healthy mix of unique modes and experiences you can play either solo or with friends. Or, if you want to open it up to everyone, you can make your ...

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning as Action Abstractions)—an EM-style procedure ...

If you use Google Maps for walking or public transportation guidance, we've got some good news for you. According to new reports, the navigation app has made some big changes to how it handles ...

Americans are flocking in droves to suburban zip codes when choosing a new home, new data shows. According to data from MovingPlace.com published in August, roughly 25.9 million people, or 7.8 percent ...

This GitHub repository contains the code, data, and figures for the paper FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models. Also includes ...

Apple’s Home app hasn’t had any new publicized features in iOS 26 yet, but a code leak just revealed a new feature in the works that relies on Apple Maps’ new upgrades. ‘Adaptive Temperature’ could ...

TD3 + Custom → 13% TD3 + Time_penalty → 11% Worst success rate: SAC + Manhattan → 2% Best ep_rew_mean: TD3 + Custom → 8.96 Worst value_loss: SAC + Manhattan → 28.9 → Poor stability Edits ![Alt Text](C ...