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AI Models for Pokemon Games — Kevin Lu

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Pokemon offers a framework to think about virtual worlds that are microcosms of our own: they allow for open-ended discovery, present the player challenges which must be overcome, and ultimately, should be fun. The Pokemon games have been a mainstay of popular culture since 1996 (longer than I’ve been around) and have been played by hundreds of millions of people. And now, they are being played by AI agents. As we move towards AI which is able to interact with and perform tasks for humans in real world – one which is open-ended, challenging, and fun – we’ve moved the agents from their own little boxes (Atari, Go, and chess) into games which begin to represent the breadth of our own world. Before they can take on the challenges of scientific discoveries, we’ll task the agents pursuing exploration and novelty in childhood games of fun. In the mainline Pokemon games, players may have two main objectives: Completing the gym challenge: the player progresses through the main story – fighting

AI Models for Pokemon Games What can Pokemon teach us about designing interactive agents? Published Jun 2025 Pokemon offers a framework to think about virtual worlds that are microcosms of our own: they allow for open-ended discovery, present the player challenges which must be overcome, and ultimately, should be fun. The Pokemon games have been a mainstay of popular culture since 1996 (longer than I’ve been around) and have been played by hundreds of millions of people. And now, they are being played by AI agents. As we move towards AI which is able to interact with and perform tasks for huma

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