Skip to content Reinforcement learning, explained with a minimum of math and jargon. Credit: Aurich Lawson | Getty Images Credit: […]
Category: Reinforcement Learning
Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language Models to Judge With Reasoned Consistency and Minimal Data
Large language models are now being used for evaluation and judgment tasks, extending beyond their traditional role of text generation. […]
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 […]