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Deep Reinforcement Learning for Playing 2.5D Fighting Games [article]

Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang
2018 arXiv   pre-print
Deep reinforcement learning has shown its success in game playing.  ...  In the experiments, we consider LF2 in different settings, which successfully demonstrates the use of our proposed model for learning 2.5D fighting games.  ...  CONCLUSION As the first to advance deep reinforcement learning for 2.5D fighting games, our proposed network extends Asynchronous Advantage Actor-Critic (A3C) and exploits game-related info features with  ... 
arXiv:1805.02070v1 fatcat:d47unicbnbg75pnnge6fiuuayu

Games, Stories and Language: Motivating Second Language Acquisition With Play

Nathan Prestopnik
2016 International Journal of Designs for Learning  
This paper reports a design case for a story-driven language learning game called Arena.  ...  connections between play and work, (d) the subtle impact of player point of view, and (e) designing for our target demographic of young male gamers.  ...  Our current version of Arena does not take very good advantage of reinforcement learning, but the role-playing game (RPG) genre is well suited to leverage reward cycles and reinforcement learning techniques  ... 
doi:10.14434/ijdl.v7i3.20051 fatcat:fj2rig5tzbfahfbpwdwm5ho6eq

Deep Learning Based Pain Treatment

Tarun Jaiswal, Sushma Jaiswal
2019 International Journal of Trend in Scientific Research and Development  
Among machine learning methods, a subset has so far been applied to pain research-related problems, SVMs, regression models, deep learning and several kinds of neural networks so far most often revealed  ...  Indeed, the application of machine learning for pain investigationassociated non-imaging problems has been mentioned in publications in scientific journals since 1940-2018.  ...  Q-Learning (QL). QL [10] , is widely used in Reinforcement Learning (RL) and has had many positive results in playing stochastic games, elevator control and robotics.  ... 
doi:10.31142/ijtsrd23639 fatcat:tqg4u3tkgjhmjpya67g3lnewwu

Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19

Hanan Farhat, George E. Sakr, Rima Kilany
2020 Machine Vision and Applications  
Likewise, deep learning applications (DL) on pulmonary medical images emerged to achieve remarkable advances leading to promising clinical trials.  ...  Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend.  ...  Reviews on deep learning applications to COVID-19 medical imaging analysis Researchers dedicated their time and resources to help fight the virus on several levels.  ... 
doi:10.1007/s00138-020-01101-5 pmid:32834523 pmcid:PMC7386599 fatcat:tkkylrptc5hkpoj52hjs3kuttu

A Study of Multi-Sensory Experience and Color Recognition in Visual Arts Appreciation of People with Visual Impairment

Jun Dong Cho
2021 Electronics  
However, it is uncommon to provide an interactive interface for color recognition, such as applying patterns, sounds, temperature, or scents.  ...  Thus, opportunities for people with visual impairments to appreciate visual artworks through various senses such as hearing, touch, and smell are expanding.  ...  Using deep-learning technology to match paintings and music offers direction and guidelines for soundscape design, and it provides a new, rich aesthetic experience beyond vision.  ... 
doi:10.3390/electronics10040470 fatcat:bmcgjxoynrb2rahkb42kklkg3m

Players unleashed!: modding The Sims and the culture of gaming

2012 ChoiceReviews  
Figure 7. '2.5D' isometric perspective in The Sims.  ...  The Sims could engage in deep conversations in their own language, Simlish, 2 or dance the tango together if the right music was playing.  ...  sexual orientation of 82, 116, 151, 153 game object 13, 24, 34, 62, 89, 98-103, 132-134, 144, 151, 152, 160-167, 169, 183 game space 53, 66, 67, 98, 109, 118-122, 127, 128, 131, 133, 135-142, 144, 145  ... 
doi:10.5860/choice.49-2721 fatcat:w3nt7iichvdirfcrqnmvlwqpni

Unified Simulation, Perception, and Generation of Human Behavior [article]

Ye Yuan
2022 arXiv   pre-print
We also discuss the lessons learned and our vision for what is next for human behavior modeling.  ...  With rapid development in deep reinforcement learning (Deep RL), exciting recent work has used Deep RL for the locomotion of 2D creatures [237] and 3D humanoid [238] .  ...  Reinforcement Learning for Character Control. Deep RL has become the preferred approach for learning character control policies with manually-designed rewards [182, 183, 236, 240] .  ... 
arXiv:2204.13678v1 fatcat:ls2kmgifbjbaffgwodgdiilstm

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  In this paper, we cover not only the BM technologies themselves but also the prerequisites for BM training and applications with BMs, dividing the BM review into four parts: Resource, Models, Key Technologies  ...  Current models for this task can be grouped into two categories: 1) reinforcement learning (RL) based models.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks [article]

Shivang Agarwal, Jean Ogier Du Terrail, Frédéric Jurie
2019 arXiv   pre-print
This strong interest can be explained not only by the importance this task has for many applications but also by the phenomenal advances in this area since the arrival of deep convolutional neural networks  ...  This article reviews the recent literature on object detection with deep CNN, in a comprehensive way, and provides an in-depth view of these recent advances.  ...  In the area of deep learning, these resources play an essential role, as it has been clearly shown that deep convolutional neural networks are designed to benefit and learn from massive amount of data  ... 
arXiv:1809.03193v2 fatcat:wj2bu3ewvbdq5fjyvrbqewpxzu

Autonomous Driving in Adverse Weather Conditions: A Survey [article]

Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda
2021 arXiv   pre-print
Automated Driving Systems (ADS) open up a new domain for the automotive industry and offer new possibilities for future transportation with higher efficiency and comfortable experiences.  ...  However, autonomous driving under adverse weather conditions has been the problem that keeps autonomous vehicles (AVs) from going to level 4 or higher autonomy for a long time.  ...  They success- tion of deep learning CNN for feature extraction and an fully identified the correlations between the decrease of SVM classifier [229].  ... 
arXiv:2112.08936v1 fatcat:hmgjhywy7rgx3fgrk6yxnu56ie

The story of a video game: reading the Assassin' s Creed universe Recommended Citation The Story of a Video Game: Reading the Assassin's Creed Universe

Karina Diaz, Karina Diaz, Karina Diaz
2016 unpublished
This fight, in the game, is set up as a street brawl where these men use their fists.  ...  In the game we can play as Ezio, but the film creates a window where we can learn about Ezio's father without disrupting the structure the game has created between the present and Desmond's genetic memories  ...  Video games, novels, and films are some media that the narrative has expanded to include.  ... 

Making space for grief

Sabine Harrer
2017 unpublished
Finally, the impact of Jocoi as resource for grievers is investigated. Using the inspirational method of cultural probes, informants' responses to the game were evaluated.  ...  in video games of the past.  ...  The game is played as the mother sheep exploring a sin-lit 2.5D meadow with her little lamb. A flock grazes idly in the background. Apart from a meditative forest soundscape, no music is playing.  ... 
doi:10.25365/thesis.46756 fatcat:37gf6ypafzfd3dp5fzk3q24wly

The Child in Games: From the Meek, to the Mighty, to the Monstrous

Emma Reay, Apollo-University Of Cambridge Repository, Zoe Jaques
While content analysis is a useful tool for documenting the presence, absence, and dominant function of child-characters in games, close reading allows for a more intersectional approach that can attend  ...  Drawing across game studies, childhood studies, and children's literature studies, this thesis catalogues and critiques the representation of children in contemporary video games.  ...  Power Fantasies Another possible explanation for the absence of playable child characters from certain game genres -for instance, from Action games and Fighting games -is that the kinds of playing experiences  ... 
doi:10.17863/cam.82249 fatcat:ycxl2v2lhjc7jjoofpjyuotvpi

All of Your Base are Belong to Us? Shmups as a Source for Better Game Design

Luke McMillan, University, My, Donna Weston
Shmup games are the most appropriate game genre for this study as they are the only commercial game genre to have changed little on both an aesthetic and mechanical level since their inception.  ...  The study compares the development of mainstream games to that of the Shmup genre, the longest and most prolific genre of gaming.  ...  In this regard I would like to make special mention of my loving wife, Jessica who has played such a significant role in helping me to see this substantial project through to completion.  ... 
doi:10.25904/1912/2012 fatcat:e6tsqgio5nbf3bo6j3vecv6udq

Improving Crowd Simulation with Optimal Acceleration Angles, Movement on 3D Surfaces, and Social Dynamics Improving Crowd Simulation with Optimal Acceleration Angles, Movement on 3D Surfaces, and Social Dynamics Improving Crowd Simulation with Optimal Acceleration Angles, Movement on 3D Surfaces, and Social Dynamics

Brian Ricks, Brian Ricks, Parris Egbert, Michael Jones, Thomas Sederberg, Quinn Snell, Tony Martinez, Brian Ricks
2013 unpublished
Crowd simulation plays a critical role in modern films, games, and architectural design.  ...  Results show that these algorithms can do visibility testing for up to 200 agents in real-time.  ...  The algorithms presented in this chapter open up a whole new set of possibilities for these games by increasing the types of surfaces on which they can be played.  ... 
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