Complete bibliography

The bibliography of all our covered research is listed below, ordered by publish date.

2. Grounded Language Learning Fast and Slow (2020)

   Hill, Felix and Tieleman, Olivier and von Glehn, Tamara and Wong, Nathaniel and Merzic, Hamza and Clark, Stephen

4. Self-Attentive Associative Memory (2020)

   Le, Hung and Tran, Truyen and Venkatesh, Svetha

6. Contrastive Learning of Structured World Models (2020)

   Kipf, Thomas and van der Pol, Elise and Welling, Max

8. Multiplayer AlphaZero (2019)

   Petosa, Nick and Balch, Tucker

10. Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (2019)

    Schrittwieser, Julian and Antonoglou, Ioannis and Hubert, Thomas and Simonyan, Karen and Sifre, Laurent and Schmitt, Simon and Guez, Arthur and Lockhart, Edward and Hassabis, Demis and Graepel, Thore and Lillicrap, Timothy and Silver, David

12. Episodic Curiosity through Reachability (2019)

    Savinov, Nikolay and Raichuk, Anton and Marinier, Raphaël and Vincent, Damien and Pollefeys, Marc and Lillicrap, Timothy and Gelly, Sylvain

14. Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks (2019)

    Crawford, Eric and Pineau, Joelle

16. MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies (2019)

    Peng, Xue Bin and Chang, Michael and Zhang, Grace and Abbeel, Pieter and Levine, Sergey

18. Multi-Object Representation Learning with Iterative Variational Inference (2019)

    Greff, Klaus and Kaufman, Raphaël Lopez and Kabra, Rishabh and Watters, Nick and Burgess, Chris and Zoran, Daniel and Matthey, Loic and Botvinick, Matthew and Lerchner, Alexander

20. DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-Supervision (2019)

    Nguyen, Tam and Dax, Maximilian and Mummadi, Chaithanya Kumar and Ngo, Nhung and Nguyen, Thi Hoai Phuong and Lou, Zhongyu and Brox, Thomas

22. Learning Plannable Representations with Causal InfoGAN (2018)

    Kurutach, Thanard and Tamar, Aviv and Yang, Ge and Russell, Stuart and Abbeel, Pieter

24. Relational Recurrent Neural Networks (2018)

    Santoro, Adam and Faulkner, Ryan and Raposo, David and Rae, Jack and Chrzanowski, Mike and Weber, Theophane and Wierstra, Daan and Vinyals, Oriol and Pascanu, Razvan and Lillicrap, Timothy

26. World Models (2018)

    Ha, David and Schmidhuber, Jürgen

28. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)

    Silver, David and Hubert, Thomas and Schrittwieser, Julian and Antonoglou, Ioannis and Lai, Matthew and Guez, Arthur and Lanctot, Marc and Sifre, Laurent and Kumaran, Dharshan and Graepel, Thore and Lillicrap, Timothy and Simonyan, Karen and Hassabis, Demis

30. Neural Episodic Control (2017)

    Pritzel, Alexander and Uria, Benigno and Srinivasan, Sriram and Puigdomènech, Adrià and Vinyals, Oriol and Hassabis, Demis and Wierstra, Daan and Blundell, Charles

32. Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes (2016)

    Wayne, Greg and Rae, Jack W. and Hunt, Jonathan J. and Harley, Tim and Danihelka, Ivo and Senior, Andrew and Graves, Alex and Lillicrap, Timothy P.

34. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (2016)

    Chen, Xi and Duan, Yan and Houthooft, Rein and Schulman, John and Sutskever, Ilya and Abbeel, Pieter

36. Mastering the Game of Go with Deep Neural Networks and Tree Search (2016)

    Silver, David and Huang, Aja and Maddison, Chris J. and Guez, Arthur and Sifre, Laurent and van den Driessche, George and Schrittwieser, Julian and Antonoglou, Ioannis and Panneershelvam, Veda and Lanctot, Marc and Dieleman, Sander and Grewe, Dominik and Nham, John and Kalchbrenner, Nal and Sutskever, Ilya and Lillicrap, Timothy and Leach, Madeleine and Kavukcuoglu, Koray and Graepel, Thore and Hassabis, Demis

38. Neural Turing Machines (2014)

    Graves, Alex and Wayne, Greg and Danihelka, Ivo

40. Learning Options in Reinforcement Learning (2002)

    Stolle, Martin and Precup, Doina