Reading list about reinforcement learning topic at KEG. Every paper here should have arXiv or other open source download link. In this reading list, a paper also need great impact (high citation) or novelty.
| Year | Authors | Title | Link |
|---|---|---|---|
| AAAI 2016 | Van Hasselt, Hado, Arthur Guez, David Silver | Deep Reinforcement Learning with Double Q-Learning | link |
| NIPS 2000 | Richard S. Sutton, David McAllester, Satinder Singh, Yishay Mansour | Policy Gradient Methods for Reinforcement Learning with Function Approximation | link |
| NIPS 2000 | Vijay R. Konda, John N. Tsitsiklis | Actor-Critic Algorithms | link |
| 2017 | John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov | Proximal Policy Optimization Algorithms | link |
| ICLR 2016 | Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra | Continuous Control With Deep Reinforcement Learning | link |
| 2016 | Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Tim Harley, Timothy P. Lillicrap, David Silver, Koray Kavukcuoglu | Asynchronous Methods for Deep Reinforcement Learning | link |