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</html><description>Description: Heterogeneous agents in the context of reinforcement learning are those that exhibit diverse characteristics or learning strategies, allowing them to tackle complex problems more effectively. These agents may differ in their architecture, algorithms, exploration and exploitation capabilities, as well as in how they interact with the environment. Heterogeneity can be intentional, designed to leverage [&hellip;]</description></oembed>
