AI explores autonomous discovery of reinforcement learning algorithms
A Nature paper reports a study led by David Silver on the autonomous discovery of reinforcement learning algorithms and the possibility of finding better methods.
A Nature paper titled “Discovering state-of-the-art reinforcement learning algorithms,” published on October 28, 2025, reports that AI can autonomously discover better reinforcement learning (RL) algorithms. The study was led by David Silver; the available summary does not detail evaluation methods or quantitative results.
Automated algorithm discovery may offer engineers a new way to develop RL methods. To assess the scope of the conclusions, consult the original paper in Nature and check its methods, results, and limitations; the summary available here does not provide those details.