PeopleofSuperintelligence

Researcher

Mehdi Mirza

Mehdi Mirza co-authored papers that span generative models and deep reinforcement learning. In 2014 he and Simon Osindero introduced conditional GANs, which feed extra data into both networks. He co-authored Generative Adversarial Nets with Ian Goodfellow and others, and NeurIPS gave that paper one of its 2024 Test of Time Paper Awards. In 2016 he co-authored Asynchronous Methods for Deep Reinforcement Learning, and ICML gave it a Test of Time Award in 2026. As of October 2026, he is a research scientist at DeepMind.

Works
24
Citations
30,603
h-index
16

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2014

    Generative adversarial nets

    He is one of eight co-authors of Generative Adversarial Nets, with Ian Goodfellow and Yoshua Bengio, a paper that NIPS publishes in 2014.

  2. November 2014

    Conditional GANs

    In November 2014 he and Simon Osindero post Conditional Generative Adversarial Nets on arXiv, introducing conditional GANs that feed extra data into both networks.

  3. 2016

    Asynchronous methods for deep RL

    Asynchronous Methods for Deep Reinforcement Learning, written with Volodymyr Mnih and others, appears in the 2016 proceedings of the International Conference on Machine Learning.

  4. September 2020

    Physically embedded planning problems

    In September 2020 he co-authors Physically Embedded Planning Problems, which embeds Sokoban, tic-tac-toe and Go in a physics engine.

  5. 2024

    A NeurIPS Test of Time award

    NeurIPS gives its 2024 Test of Time Paper Award to Generative Adversarial Nets, a 2014 paper that lists him among its authors.

  6. 2026

    An ICML Test of Time award

    In 2026 ICML presents its Test of Time Award for Asynchronous Methods for Deep Reinforcement Learning, a 2016 paper that lists him among its authors.

  7. As of October 2026

    A research scientist at DeepMind

    He is a research scientist at DeepMind.

Sources and credits

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  1. Generative Adversarial Nets papers.nips.cc. Checked 14 October 2026.
  2. [1411.1784] Conditional Generative Adversarial Nets arxiv.org. Checked 14 October 2026.
  3. Asynchronous Methods for Deep Reinforcement Learning proceedings.mlr.press. Checked 14 October 2026.
  4. [2009.05524] Physically Embedded Planning Problems: New Challenges for Reinforcement Learning arxiv.org. Checked 14 October 2026.
  5. Announcing the NeurIPS 2024 Test of Time Paper Awards – NeurIPS Blog blog.neurips.cc. Checked 14 October 2026.
  6. ICML Test Of Time Asynchronous Methods for Deep Reinforcement Learning icml.cc. Checked 14 October 2026.
  7. Mehdi Mirza | DeepAI deepai.org. Checked 14 October 2026.