Large language models are now being used for evaluation and judgment tasks, extending beyond their traditional role of text generation. […]
Category: Reinforcement Learning
NVIDIA Releases Cosmos-Reason1: A Suite of AI Models Advancing Physical Common Sense and Embodied Reasoning in Real-World Environments
AI has advanced in language processing, mathematics, and code generation, but extending these capabilities to physical environments remains challenging. Physical […]
Training LLM Agents Just Got More Stable: Researchers Introduce StarPO-S and RAGEN to Tackle Multi-Turn Reasoning and Collapse in Reinforcement Learning
Large language models (LLMs) face significant challenges when trained as autonomous agents in interactive environments. Unlike static tasks, agent settings […]
π0 Released and Open Sourced: A General-Purpose Robotic Foundation Model that could be Fine-Tuned to a Diverse Range of Tasks
Robots are usually unsuitable for altering different tasks and environments. General-purpose models of robots are devised to circumvent this problem. […]
REDA: A Novel AI Approach to Multi-Agent Reinforcement Learning That Makes Complex Sequence-Dependent Assignment Problems Solvable
Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with […]