Add to ORKGThis project uses Unity3D as the game engine for building a first person shooter game, the Zombie Hunter. To train the AI bot(the zombie) we use reinforcement learning. In this game the bot becomes smarter and smarter as the player advances to upper levels. In the Zombie Hunter game, the zombies perform differently in response to the player\u27s individual behavior
The gaming industry has reached a point where improving graphics has only a small effect on how much...
Interactive training is a technique that allows humans to guide a learning algorithm. This technique...
The creation of effective autonomous agents (bots) for combat scenarios has long been a goal of the ...
This paper demonstrates the applicability of reinforcement learning for first person shooter bot art...
Reinforcement learning is well suited to first person shooter bot artificial intelligence as it has ...
Treball Final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2016/2...
Training agents to play in contemporary multiplayer actions game is a challenging task, especially w...
Reinforcement learning (RL) is a paradigm which involves an agent interacting with an environment. T...
Machine learning is now widely studied as thebasis for artificial intelligence systems within comput...
This paper illustrates how we create a software agent by em-ploying FALCON, a self-organizing neural...
Abstract—Reinforcement learning is an unsupervised machine learning method in the area of Artificial...
In current state-of-the-art commercial first person shooter games, computer controlled bots, also kn...
Games are good test-beds to evaluate AI methodologies. In recent years, there has been a vast amount...
Treball Final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2016-2...
Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari game...
The gaming industry has reached a point where improving graphics has only a small effect on how much...
Interactive training is a technique that allows humans to guide a learning algorithm. This technique...
The creation of effective autonomous agents (bots) for combat scenarios has long been a goal of the ...
This paper demonstrates the applicability of reinforcement learning for first person shooter bot art...
Reinforcement learning is well suited to first person shooter bot artificial intelligence as it has ...
Treball Final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2016/2...
Training agents to play in contemporary multiplayer actions game is a challenging task, especially w...
Reinforcement learning (RL) is a paradigm which involves an agent interacting with an environment. T...
Machine learning is now widely studied as thebasis for artificial intelligence systems within comput...
This paper illustrates how we create a software agent by em-ploying FALCON, a self-organizing neural...
Abstract—Reinforcement learning is an unsupervised machine learning method in the area of Artificial...
In current state-of-the-art commercial first person shooter games, computer controlled bots, also kn...
Games are good test-beds to evaluate AI methodologies. In recent years, there has been a vast amount...
Treball Final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2016-2...
Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari game...
The gaming industry has reached a point where improving graphics has only a small effect on how much...
Interactive training is a technique that allows humans to guide a learning algorithm. This technique...
The creation of effective autonomous agents (bots) for combat scenarios has long been a goal of the ...