Reinforcement learning for personalization: A systematic literature review
The major application areas of reinforcement learning (RL) have traditionally been game
playing and continuous control. In recent years, however, RL has been increasingly applied …
playing and continuous control. In recent years, however, RL has been increasingly applied …
Leakage aware dynamic voltage scaling for real-time embedded systems
R Jejurikar, C Pereira, R Gupta - Proceedings of the 41st annual Design …, 2004 - dl.acm.org
A five-fold increase in leakage current is predicted with each technology generation. While
Dynamic Voltage Scaling (DVS) is known to reduce dynamic power consumption, it also …
Dynamic Voltage Scaling (DVS) is known to reduce dynamic power consumption, it also …
Towards automatic personalized content generation for platform games
In this paper, we show that personalized levels can be auto-matically generated for platform
games. We build on previ-ous work, where models were derived that predicted player …
games. We build on previ-ous work, where models were derived that predicted player …
Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft: Broodwar
This paper presents an evaluation of the suitability of reinforcement learning (RL) algorithms
to perform the task of micro-managing combat units in the commercial real-time strategy …
to perform the task of micro-managing combat units in the commercial real-time strategy …
Assessing game balance with AlphaZero: Exploring alternative rule sets in chess
N Tomašev, U Paquet, D Hassabis… - arxiv preprint arxiv …, 2020 - arxiv.org
It is non-trivial to design engaging and balanced sets of game rules. Modern chess has
evolved over centuries, but without a similar recourse to history, the consequences of rule …
evolved over centuries, but without a similar recourse to history, the consequences of rule …
Dynamic game difficulty scaling using adaptive behavior-based AI
Games are played by a wide variety of audiences. Different individuals will play with different
gaming styles and employ different strategic approaches. This often involves interacting with …
gaming styles and employ different strategic approaches. This often involves interacting with …
An analysis of a digital variant of the Trail Making Test using machine learning techniques
BACKGROUND: The goal of this work is to develop a digital version of a standard cognitive
assessment, the Trail Making Test (TMT), and assess its utility. OBJECTIVE: This paper …
assessment, the Trail Making Test (TMT), and assess its utility. OBJECTIVE: This paper …
Reflections on the design, implementation, and adoption of a gamified eHealth application in youth mental healthcare
We designed and implemented a gamified eHealth application for youth mental healthcare,
to study how game design techniques could be applied within this context. This resulted in …
to study how game design techniques could be applied within this context. This resulted in …
Inspector: Pixel-based automated game testing via exploration, detection, and investigation
Deep reinforcement learning (DRL) has attracted much attention in automated game testing.
Early attempts rely on game internal information for game space exploration, thus requiring …
Early attempts rely on game internal information for game space exploration, thus requiring …
A study on the use of eye tracking to adapt gameplay and procedural content generation in first-person shooter games
J Antunes, P Santana - Multimodal Technologies and Interaction, 2018 - mdpi.com
This paper studies the use of eye tracking in a First-Person Shooter (FPS) game as a
mechanism to:(1) control the attention of the player's avatar according to the attention …
mechanism to:(1) control the attention of the player's avatar according to the attention …