Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...
Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...
Over the holidays, some strange signals started emanating from the pulsating, energetic blob of X users who set the agenda in AI. OpenAI co-founder Andrej Karpathy, who coined the term “vibe coding” ...
This tutorial is designed to make reinforcement learning (RL) more accessible to undergraduate students by offering clear, example-driven explanations. It focuses on bridging the gap between RL theory ...
Eavesdropping on their owners seems to help some toy-crazy and talented pups learn more words. Eavesdropping on their owners seems to help some toy-crazy and talented pups learn more words. Miso, a ...
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 Eagles guitarist previewed his auction items at The Troubadour in Los Angeles on Monday, Dec. 8 Ilana Kaplan is a Staff Editor at PEOPLE. She has been working at PEOPLE since 2023. Her work has ...