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 ...
Frontiers

Safe and Trustworthy Reinforcement Learning for Human–Robot Collaboration

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...
The Next Web

Reinforcement learning: How rewards create intelligent machines

In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: reinforcement ...
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 ...
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 ...