Move SVG to Deep Model section

README.md

@@ -59,14 +59,14 @@ If you want to inform the maintainer of a new paper, feel free to contact [@mooo
  - J. Schulman, P. Moritz, S. Levine, M. Jordan, and P. Abbeel, **High-Dimensional Continuous Control Using Generalized Advantage Estimation**, arXiv, 2015. [arXiv](http://arxiv.org/abs/1506.02438)
  - T. P. Lillicrap, J. J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra, **Continuous control with deep reinforcement learning**, arXiv, 2015. [arXiv](http://arxiv.org/abs/1509.02971)
  - D. Balduzzi and M. Ghifary, **Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies**, arXiv, 2015. [arXiv](http://arxiv.org/abs/1509.03005)
- - N. Heess, G. Wayne, D. Silver, T. Lillicrap, Y. Tassa, and T. Erez, **Learning Continuous Control Policies by Stochastic Value Gradients**, NIPS, 2015. [arXiv](http://arxiv.org/abs/1510.09142) [video](https://www.youtube.com/watch?v=PYdL7bcn_cM)
  - M. Hausknecht and P. Stone, **Deep Reinforcement Learning in Parameterized Action Space**, arXiv. 2015. [arXiv](http://arxiv.org/abs/1511.04143)
 
 ### Deep Model
 
  - B. C. Stadie, S. Levine, and P. Abbeel, **Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models**, arXiv, 2015. [arXiv](http://arxiv.org/abs/1507.00814)
  - J. Oh, X. Guo, H. Lee, R. Lewis, and S. Singh, **Action-Conditional Video Prediction using Deep Networks in Atari Games**, NIPS, 2015. [arXiv](http://arxiv.org/abs/1507.08750)
  - J. M. Assael, W. Om, T. B. Schön, and M. P. Deisenroth, **Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models**, arXiv, 2015 [arXiv](http://arxiv.org/abs/1510.02173)
+ - N. Heess, G. Wayne, D. Silver, T. Lillicrap, Y. Tassa, and T. Erez, **Learning Continuous Control Policies by Stochastic Value Gradients**, NIPS, 2015. [arXiv](http://arxiv.org/abs/1510.09142) [video](https://www.youtube.com/watch?v=PYdL7bcn_cM)
 
 ### Application to Non-RL Tasks