OpenAI has announced a retro contest, a transfer learning competition that evaluates the ability of reinforcement learning algorithms to apply knowledge gained from past experiences. The goal is to measure how well these algorithms can generalize and adapt to new situations. This contest aims to push the boundaries of what's possible with transfer learning in reinforcement learning. --- Why it matters: This contest matters because it will help researchers understand how to improve the ability of AI systems to learn from experience and apply that knowledge in new contexts, which is a key challenge in developing more robust and efficient AI models. Source: https://openai.com/index/retro-contest