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

Ceilbot: A Ceiling-Mounted Robot for Fast and Accurate Localization of Off-the-Shelf RFIDs via Wideband SAR-Based Reinforcement Learning

Abstract: We present the design, implementation, and evaluation of Ceilbot, a ceiling-mounted robot for efficient and accurate RFID localization. Unlike previous robotic RFID localization systems, ...