Manan Kalra and J C Patni. Article: Playing Doom with Deep Reinforcement Learning. IJCA Proceedings on International Conference on Recent Trends in Science, Technology, Management and Social Development ICRTSTMSD 2018(1):14-20, August 2019. Full text available. BibTeX
@article{key:article, author = {Manan Kalra and J. C. Patni}, title = {Article: Playing Doom with Deep Reinforcement Learning}, journal = {IJCA Proceedings on International Conference on Recent Trends in Science, Technology, Management and Social Development}, year = {2019}, volume = {ICRTSTMSD 2018}, number = {1}, pages = {14-20}, month = {August}, note = {Full text available} }
Abstract
In this work, we present a deep learning model based on reinforcement learning that is tied to an AI agent. The agent successfully learns policies to control itself in a virtual game environment directly from high-dimensional sensory inputs. The model is a convolutional neural network, trained with a variant of the Q-learning algorithm, whose input is raw pixels and whose output is a Q-value directly associated with the best possible future action. We apply our method to a first-person shooting game - Doom. We find that it outperforms all previous approaches and also surpasses a human expert.
References
- Sutton, R. S. & Bartro, A. G. (1998). Introduction to Reinforcement Learning. Cambridge, MA: MIT Press.
- Bellman, R. E (1957). Dynamic Programming. , Princeton, New Jersey: Princeton University Press.
- Bellemare M. G. , Naddaf, Y. , Veness, J. & Bowling M. (2013). The arcade learning environment: An evaluation platform for general agents. Journal of Artificial Intelligence Research, 47:253–279.
- Bellemare, M. G. , Veness, J. & Bowling, M. (2012). Investigating contingency awareness using atari 2600 games. In AAAI.
- Silver, D. (2016). Deep Reinforcement Learning. DeepMind Technologies.
- Krizhevsky, A. , Sutskever, I. & Hinton, G. (2012). Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 25, pages 1106–1114.
- White, D. J. (1993, November). A Survey of Applications of Markov Decision Processes. The Journal of the Operational Research Society, Vol. 44, No. 11, pp. 1073-1096.