New method uses crowdsourced feedback to help train robots

New method uses crowdsourced feedback to help train robots AI News, Adam Zewe | MIT News, AI, AI tools, Innovation, itinai.com, LLM, MIT News - Artificial intelligence, t.me/itinai 🚀 New Method Uses Crowdsourced Feedback to Train AI Robots 🤖 Exciting news! Researchers from MIT, Harvard University, and the University of Washington have developed an innovative reinforcement learning approach that allows AI agents to learn new tasks without relying on expertly designed reward functions. Instead, these agents are guided by crowdsourced feedback from nonexpert users, which helps them reach their goals more quickly. This method is particularly useful for complex tasks that involve multiple steps. Traditionally, teaching AI agents involved designing reward functions, which can be time-consuming and difficult to scale. With this new method, nonexpert users can provide feedback asynchronously, making it possible for people from around the world to contribute to teaching the agents. Here's how the process works: a goal selector algorithm is continuously updated with human feedback, while the agent explores on its own, guided by the goal selector. The feedback gently guides the agent's behavior, leading it to more promising areas closer to its goal. Even if the feedback is inaccurate, the agent can still learn to complete the task. The method has been tested on both simulated and real-world tasks, and it outperformed other methods in terms of learning speed. Crowdsourced data from nonexperts yielded better performance than synthetic data produced by researchers, and labeling images or videos took less than two minutes for nonexpert users. If you want to evolve your company with AI and stay competitive, consider using this new method that leverages crowdsourced feedback to train robots. Here are some steps to successfully implement AI solutions in your company: 1️⃣ Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. 2️⃣ Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes. 3️⃣ Select an AI Solution: Choose tools that align with your needs and provide customization. 4️⃣ Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously. For AI KPI management advice, connect with us at hello@itinai.com. And for continuous insights into leveraging AI, stay tuned on our Telegram channel t.me/itinainews or follow us on Twitter @itinaicom. 🌟 Spotlight on a Practical AI Solution: Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com. 🔗 List of Useful Links: 🔹 AI Lab in Telegram @aiscrumbot – free consultation 🔹 New method uses crowdsourced feedback to help train robots 🔹 MIT News – Artificial intelligence 🔹 Twitter – @itinaicom