1. Khan Adil, Feng Jiang, Shaohui Liu, Worku Jifara, Zhihong Tian, and Yunsheng Fu, State-of-the-art and open challenges in RTS Game-AI and Starcraft, Int. J. Adv. Comput. Sci. Appl., 2017, vol. 8, no. 12, p. 9.
2. Adil Khan, Kai Yang, Yunsheng Fu, Fang Lou, Worku Jifara, Feng Jiang, and Liu Shaohui, A competitive combat strategy and tactics in RTS Games AI and StarCraft, Advances in Multimedia Information Processing—PCM 2017; Lect. Notes Comput. Sci., 2017, vol. 10736, pp. 3–12.
3. Wu, Y. and Tian, Y., Training agent for first-person shooter game with actor-critic curriculum learning, ICLR 2017, 2017.
4. Hyunsoo Park and Kyung-Joong Kim, Deep Q-Learning using redundant outputs in Visual Doom, 2016 IEEE Conference on Computational Intelligence and Games (CIG), 2016.
5. Kempka, M., et al., ViZDoom: A Doom-based AI research platform for visual reinforcement learning, arXiv preprint arXiv:1605.02097, 2016.