VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...
InfoQ

Amazon Bedrock Introduces Multi-Agent Systems (MAS) with Open Source Framework Integration

Amazon Web Services has released a multi-agent collaboration capability for Amazon Bedrock, introducing a framework for deploying and managing multiple AI agents that collaborate on complex tasks. The ...
VentureBeat

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
Nature

Agent-Based Modeling and Simulation in Complex Systems

Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...