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Andrei A. Rusu,
a Romanian computer scientist at Google DeepMind. He holds a M.Sc. degree from University College London in 2011 on the topic of functional magnetic resonance imaging (fMRI) used for various feats of “mind reading” by means of multi-voxel pattern analysis [1]. His research interests include artificial intelligence, reinforcement learning, neural networks and deep learning, where he worked on deep Q-networks (DQN), that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning [2]. DQNs were tested in the domain of classic Atari games such as Pong, Space Invaders, Breakout and Seaquest, receiving only the pixels and the game score as inputs, to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters [3] .
Andrei A. Rusu [4]

Selected Publications

[5]

2010 ...

2015 ...


External Links


References

  1. ^ Andrei A. Rusu (2011). Decoding Neural Representations of People and Personality Traits Using fMRI Multi-Voxel Pattern Analysis. Master thesis, UCL
  2. ^ We’ll Never Win! Google’s AI Plays Atari - Propecta by Nate Dame, March 19, 2015
  3. ^ Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis (2015). Human-level control through deep reinforcement learning. Nature, Vol. 518
  4. ^ Andrei A. Rusu - Google Scholar Citations
  5. ^ DBLP: Andrei A. Rusu

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