uni

Dynamic Optimization and Reinforcement Learning, Winter 2024/25, Simon Haastert, Jörg Lingens, Mark Trede

This course introduces deterministic and stochastic dynamic optimization and reinforcement learning. The aims are (i) to motivate the use of dynamic optimization techniques (including reinforcement ...
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 ...
Forbes

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
MIT Technology Review

Reinforcement Learning

Progress in self-­driving cars and other forms of automation will slow dramatically unless machines can hone skills through experience. Inside a simple computer simulation, a group of self-driving ...