In these tutorials for reinforcement learning, it covers from the basic RL algorithms to advanced algorithms developed recent years. If you speak Chinese, visit ...
This repo contains the repeatability package of the paper "Training Verifiably Robust Agnets Using Set-Based Reinforcement Learning", Wendl et. al, 2024.
Abstract: We report a newly developed room-temperature (RT) shimming method for high-temperature superconducting (HTS) magnets employing a deep Q-network (DQN), a type of reinforcement learning theory ...
Reinforcement learning is a key concept for AI training. Find out more about it and how it transforms AI in this beginner guide. Reinforcement Learning is how AI learns through trial and error, just ...
Abstract: This paper proposes a hierarchical safe reinforcement learning with prescribed performance control (HSRL-PPC) scheme to address the challenges of interconnected leader-follower systems ...
Machines that learn like babies: Reinforcement learning expert David Silver speaking at the Heidelberg Laureate Forum on 15 September, 2025. (Courtesy: Bernhard Kreutzer/HLF) Today’s artificial ...
For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s ...