An Approach to the Development of a Game Bot based on Reinforcement Learning
E. Saraswathi1, Riyaz Ahmed2, Vaibhav Kanna3, Ashwin Kumar Thachat4
1Mrs. E. Saraswathi, Assistant Professor, Faculty of Engineering & Technology, Department of Computerscience and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Riyaz Ahmed, Undergraduate Students, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Vaibhav Kanna, Undergraduate Students, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Ashwin Kumar Thachat, Undergraduate Students, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on October 12, 2018. | Revised Version Manuscript Received on October 30, 2018. | Manuscript published on November 20, 2018. | PP: 9-11 | Volume-5 Issue-1, November 2018. | Retrieval Number: A0848115118.
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The current researches for developing a Game Bot for digital games have been studied thoroughly. The bots created based on those studies play the game exactly as an expert would. The bots decide their next move by overlooking a number of moves ahead of the next move. Our approach of creating a Game Bot requires low computational resources without compromising the difficulty and expertise of play. We have proposed to develop our Game Bot through Reinforcement Learning. Reinforcement Learning is an exciting new field of machine learning, in which Bots learn by playing games. The bots are thrown in a gaming environment, and then trained to learn by observing their actions and rewards. We are going to build a Game Bot that will autonomously play against and beat the Atari game Neon Race Car.
Keywords: Game Bot, Reinforcement Learning, Machine Learnin.