Recent advances in deep learning and computer vision techniques and algorithms have inspired me to create a model application. The game environment used is Slither.io. The system has no previous understanding of the game and is able to learn its surroundings through feature detection and deep learning. Contrary to other agents, my bot is able to dynamically learn and react to its environment. It operates extremely well in early game, with little enemy encounters. It has difficulty transitioning to middle and late game due to limited training time. I will continue to develop this algorithm
Thurau C, Bauckhage C, Sagerer G. Combining Self Organizing Maps and Multilayer Perceptrons to Learn...
The game industry is moving into an era where old-style game engines are being replaced by re-engine...
This paper investigates the potential of combining deep learning and neuroevolution to create a bot ...
Artificial intelligence (AI) increases the immersion that players can have while playing games. Mode...
In this project, we propose different techniques for developing Artificial Intelligences for videoga...
The world has recently seen a large increase in both research and development and layman use of mach...
Machine learning is an important part of most current Artificial Intelligence applications as it all...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
Neural Networks have received an explosive amount of attention and interest in recent years. Despite...
In modern computer video games, the quality of artificial characters plays a prominent role in the s...
Summarization: Procedural content generation in video games has a long history. Existing procedural ...
This thesis project details the creation of a simple platform game and an artificially intelligent a...
The goal of this project is to develop an agent capable of playing a particular game at an above ave...
In this paper we present the use of deep reinforcement learn-ing techniques in the context of playin...
Artificial intelligence (AI) and video games benefit from each other. Games provide a challenging do...
Thurau C, Bauckhage C, Sagerer G. Combining Self Organizing Maps and Multilayer Perceptrons to Learn...
The game industry is moving into an era where old-style game engines are being replaced by re-engine...
This paper investigates the potential of combining deep learning and neuroevolution to create a bot ...
Artificial intelligence (AI) increases the immersion that players can have while playing games. Mode...
In this project, we propose different techniques for developing Artificial Intelligences for videoga...
The world has recently seen a large increase in both research and development and layman use of mach...
Machine learning is an important part of most current Artificial Intelligence applications as it all...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
Neural Networks have received an explosive amount of attention and interest in recent years. Despite...
In modern computer video games, the quality of artificial characters plays a prominent role in the s...
Summarization: Procedural content generation in video games has a long history. Existing procedural ...
This thesis project details the creation of a simple platform game and an artificially intelligent a...
The goal of this project is to develop an agent capable of playing a particular game at an above ave...
In this paper we present the use of deep reinforcement learn-ing techniques in the context of playin...
Artificial intelligence (AI) and video games benefit from each other. Games provide a challenging do...
Thurau C, Bauckhage C, Sagerer G. Combining Self Organizing Maps and Multilayer Perceptrons to Learn...
The game industry is moving into an era where old-style game engines are being replaced by re-engine...
This paper investigates the potential of combining deep learning and neuroevolution to create a bot ...