Mira Murati’s Stealth AI Lab Launches Its First Product

Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine-tuning cutting-edge models ...
The Information

Will Reinforcement Learning Get Us to AGI? This Anthropic Researcher Thinks So

Thanks to everyone who attended our AI Agenda Live event in New York yesterday! It was incredible to get to meet so many ...
IEEE

Confidence-Aware Robust Dynamical Distance Constrained Reinforcement Learning for Social Robot Navigation

Abstract: Navigating in a crowded social environment without collisions or freezing is a crucial and challenging task. Recent studies have demonstrated considerable success using Deep Reinforcement ...
GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
IEEE

Lyapunov-Informed Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks

Abstract: Multi-Agent Reinforcement Learning (MARL) has shown great potential in solving complex tasks. Despite great success, low training efficiency remains a pervasive and long-standing challenge ...
WSB-TV

You can now apply to become a Delta Air Lines flight attendant

ATLANTA — Delta Air Lines is now accepting applications for flight attendant positions for its 2026 hiring classes, offering roles for both English-speaking and bilingual candidates. The Atlanta-based ...
Travel Daily Media

Delta is accepting flight attendant applications for its upcoming 2026 recruitment

Delta is accepting flight attendant applications for its upcoming 2026 hiring classes, with openings for English-speaking and bilingual roles, also known as Language of Destination (LOD). “As we ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...