AI agents trained in simulations that differ from the environments where they are deployed sometimes perform better than agents trained and deployed in the same environment, research shows.
New training approach could help AI agents perform better in uncertain conditions
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Jan-31
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In a groundbreaking study, it has been revealed that AI agents exposed to a variety of simulations, mimicking the diversity found in real-world environments, show enhanced performance, especially in unexpected situations. This research underscores the imperative for inclusive technology practices that avoid perpetuating existing biases, stressing the role of diversity in training datasets to achieve equitable outcomes in AI deployments.