Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
VentureBeat

Google finds that AI agents learn to cooperate when trained against unpredictable opponents

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each ...
inc42

What Is Reinforcement Learning? Here’s All You Need to Know

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...
Security Boulevard

Synthetic data is all you need for Reinforcement Learning

We used Tonic Fabricate to generate a fully synthetic email corpus, then RL fine-tuned an open-source model against it. The ...
Devdiscourse

AI could transform pandemic strategy by balancing lives, economy and resources

Read more about AI could transform pandemic strategy by balancing lives, economy and resources on Devdiscourse ...

Why Hermes Agent Is Becoming the Go-to Open-Source Alternative to OpenClaw

Hermes Agent is a new open source autonomous AI tool that runs tasks across Telegram, Discord, WhatsApp, and the CLI.