1.**playing atari with deep reinforcement learning** NIPS Deep Learning Workshop 2013. [paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)
*Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller*
2.**Human-level control through deep reinforcement learning** Nature 2015. [paper](https://www.nature.com/articles/nature14236)
*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*
3.**Deep Reinforcement Learning with Double Q-learning** AAAI 16. [paper](https://arxiv.org/abs/1509.06461)
*Hado van Hasselt, Arthur Guez, David Silver*
4.**Dueling Network Architectures for Deep Reinforcement Learning** ICML16. [paper](https://arxiv.org/abs/1511.06581)
*Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas*
5.**Deep Recurrent Q-Learning for Partially Observable MDPs** AAA15. [paper](https://arxiv.org/abs/1507.06527)
*Tom Schaul, John Quan, Ioannis Antonoglou, David Silver*
7.**Asynchronous Methods for Deep Reinforcement Learning** ICML2016. [paper](https://arxiv.org/abs/1602.01783)
*Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu*
8.**A Distributional Perspective on Reinforcement Learning** ICML2017. [paper](https://arxiv.org/abs/1707.06887)
*Marc G. Bellemare, Will Dabney, Rémi Munos*
9.**Noisy Networks for Exploration** ICLR2018. [paper](https://arxiv.org/abs/1706.10295)
*Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Remi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg*
10.**Rainbow: Combining Improvements in Deep Reinforcement Learning** AAAI2018. [paper](https://arxiv.org/abs/1710.02298)
*Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver*
### Model-based RL
1.**Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion** NIPS2018. [paper](https://arxiv.org/abs/1807.01675)
