Rezultati pretraživanja
  1. 26. pro 2018.
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  2. 24. lip 2019.
  3. 30. sij

    Amazing: every week I see a paper comparing algorithms using mean performance over *3* seeds ! Yes, ****3**** !!! Please please community, your great ideas will be served better using standard scientific methods!

  4. 26. lip 2019.
  5. 1. kol 2019.

    I really like 's clean, concise slides during her generalization in RL talk. There are so many things and ways RL agents can generalize, it's an exciting time to work on these areas!

  6. 7. lis 2019.

    A practical approach for with robots, soon to be presented @ Workshop Tested with real robots !

  7. 23. srp 2019.

    You totally need VMs to do AI, nods VMware as Bitfusion dissolves in its vSphere of influence

  8. 19. velj 2019.

    Kicking off workshop on research, Trends and Practices. speaking on – mjesto: nvidia

  9. 7. sij
  10. 7. ožu 2019.
  11. Odgovor korisniku/ci

    Yes, because it is nonconvex. That's why it is important to do many runs, which rarely happens in deep reinforcement learning

  12. 9. kol 2019.
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  13. 7. sij 2019.

    By using Grad-CAM, it becomes more intuitive on what is learned from pre-training with non-expert human demo for deep reinforcement learning Videos of other Atari games here: ArXiv paper:

  14. 11. ožu 2019.

    This position on curiosity in experimented in large open video games world is still opened! Involves a collaboration with Ubisoft. Job available now, but I am also considering excellent applications planned to begin in sept./oct.

  15. 1. stu 2019.
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  16. 14. pro 2019.
  17. 14. pro 2019.

    Very proud of Kirill Polzounov (BRT intern in 2018) getting a paper in the workshop at

  18. 17. lis 2019.

    We had a great time at the conference today where explained the subtleties of in practice and showcased our product to the audience. Thank you and for having us!

  19. 25. kol 2019.

    experts & Jonathan Gerrand from the Robotics, Autonomous Intelligence and Learning will be talking , , for

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