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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.04797 |
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| _version_ | 1866909943544676352 |
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| author | SIMA team Bolton, Adrian Lerchner, Alexander Cordell, Alexandra Moufarek, Alexandre Bolt, Andrew Lampinen, Andrew Mitenkova, Anna Hallingstad, Arne Olav Vujatovic, Bojan Li, Bonnie Lu, Cong Wierstra, Daan Sawyer, Daniel P. Slater, Daniel Reichert, David Vercelli, Davide Hassabis, Demis Hudson, Drew A. Williams, Duncan Hirst, Ed Pardo, Fabio Hill, Felix Besse, Frederic Openshaw, Hannah Chan, Harris Soyer, Hubert Wang, Jane X. Clune, Jeff Agapiou, John Reid, John Marino, Joseph Kim, Junkyung Gregor, Karol Sridhar, Kaustubh McKinney, Kay Kampis, Laura Zhang, Lei M. Matthey, Loic Wang, Luyu Raad, Maria Abi Loks-Thompson, Maria Engelcke, Martin Kecman, Matija Jackson, Matthew Gazeau, Maxime Purkiss, Ollie Knagg, Oscar Stys, Peter Mendolicchio, Piermaria Hadsell, Raia Ke, Rosemary Faulkner, Ryan Chakera, Sarah Baveja, Satinder Singh Legg, Shane Kashem, Sheleem Terzi, Tayfun Keck, Thomas Harley, Tim Scholtes, Tim Roberts, Tyson Mnih, Volodymyr Liu, Yulan Wang, Zhengdong Ghahramani, Zoubin |
| author_facet | SIMA team Bolton, Adrian Lerchner, Alexander Cordell, Alexandra Moufarek, Alexandre Bolt, Andrew Lampinen, Andrew Mitenkova, Anna Hallingstad, Arne Olav Vujatovic, Bojan Li, Bonnie Lu, Cong Wierstra, Daan Sawyer, Daniel P. Slater, Daniel Reichert, David Vercelli, Davide Hassabis, Demis Hudson, Drew A. Williams, Duncan Hirst, Ed Pardo, Fabio Hill, Felix Besse, Frederic Openshaw, Hannah Chan, Harris Soyer, Hubert Wang, Jane X. Clune, Jeff Agapiou, John Reid, John Marino, Joseph Kim, Junkyung Gregor, Karol Sridhar, Kaustubh McKinney, Kay Kampis, Laura Zhang, Lei M. Matthey, Loic Wang, Luyu Raad, Maria Abi Loks-Thompson, Maria Engelcke, Martin Kecman, Matija Jackson, Matthew Gazeau, Maxime Purkiss, Ollie Knagg, Oscar Stys, Peter Mendolicchio, Piermaria Hadsell, Raia Ke, Rosemary Faulkner, Ryan Chakera, Sarah Baveja, Satinder Singh Legg, Shane Kashem, Sheleem Terzi, Tayfun Keck, Thomas Harley, Tim Scholtes, Tim Roberts, Tyson Mnih, Volodymyr Liu, Yulan Wang, Zhengdong Ghahramani, Zoubin |
| contents | We introduce SIMA 2, a generalist embodied agent that understands and acts in a wide variety of 3D virtual worlds. Built upon a Gemini foundation model, SIMA 2 represents a significant step toward active, goal-directed interaction within an embodied environment. Unlike prior work (e.g., SIMA 1) limited to simple language commands, SIMA 2 acts as an interactive partner, capable of reasoning about high-level goals, conversing with the user, and handling complex instructions given through language and images. Across a diverse portfolio of games, SIMA 2 substantially closes the gap with human performance and demonstrates robust generalization to previously unseen environments, all while retaining the base model's core reasoning capabilities. Furthermore, we demonstrate a capacity for open-ended self-improvement: by leveraging Gemini to generate tasks and provide rewards, SIMA 2 can autonomously learn new skills from scratch in a new environment. This work validates a path toward creating versatile and continuously learning agents for both virtual and, eventually, physical worlds. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_04797 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SIMA 2: A Generalist Embodied Agent for Virtual Worlds SIMA team Bolton, Adrian Lerchner, Alexander Cordell, Alexandra Moufarek, Alexandre Bolt, Andrew Lampinen, Andrew Mitenkova, Anna Hallingstad, Arne Olav Vujatovic, Bojan Li, Bonnie Lu, Cong Wierstra, Daan Sawyer, Daniel P. Slater, Daniel Reichert, David Vercelli, Davide Hassabis, Demis Hudson, Drew A. Williams, Duncan Hirst, Ed Pardo, Fabio Hill, Felix Besse, Frederic Openshaw, Hannah Chan, Harris Soyer, Hubert Wang, Jane X. Clune, Jeff Agapiou, John Reid, John Marino, Joseph Kim, Junkyung Gregor, Karol Sridhar, Kaustubh McKinney, Kay Kampis, Laura Zhang, Lei M. Matthey, Loic Wang, Luyu Raad, Maria Abi Loks-Thompson, Maria Engelcke, Martin Kecman, Matija Jackson, Matthew Gazeau, Maxime Purkiss, Ollie Knagg, Oscar Stys, Peter Mendolicchio, Piermaria Hadsell, Raia Ke, Rosemary Faulkner, Ryan Chakera, Sarah Baveja, Satinder Singh Legg, Shane Kashem, Sheleem Terzi, Tayfun Keck, Thomas Harley, Tim Scholtes, Tim Roberts, Tyson Mnih, Volodymyr Liu, Yulan Wang, Zhengdong Ghahramani, Zoubin Artificial Intelligence Robotics We introduce SIMA 2, a generalist embodied agent that understands and acts in a wide variety of 3D virtual worlds. Built upon a Gemini foundation model, SIMA 2 represents a significant step toward active, goal-directed interaction within an embodied environment. Unlike prior work (e.g., SIMA 1) limited to simple language commands, SIMA 2 acts as an interactive partner, capable of reasoning about high-level goals, conversing with the user, and handling complex instructions given through language and images. Across a diverse portfolio of games, SIMA 2 substantially closes the gap with human performance and demonstrates robust generalization to previously unseen environments, all while retaining the base model's core reasoning capabilities. Furthermore, we demonstrate a capacity for open-ended self-improvement: by leveraging Gemini to generate tasks and provide rewards, SIMA 2 can autonomously learn new skills from scratch in a new environment. This work validates a path toward creating versatile and continuously learning agents for both virtual and, eventually, physical worlds. |
| title | SIMA 2: A Generalist Embodied Agent for Virtual Worlds |
| topic | Artificial Intelligence Robotics |
| url | https://arxiv.org/abs/2512.04797 |