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AI in Games: Techniques, Challenges and Opportunities
[article]
2021
arXiv
pre-print
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Through this survey, we 1) compare the main difficulties among different kinds of games for the intelligent decision making field ; 2) illustrate the mainstream frameworks and techniques for developing ...
With breakthrough of AlphaGo, AI in human-computer game has become a very hot topic attracting researchers all around the world, which usually serves as an effective standard for testing artificial intelligence ...
Firstly, to train each generation of agents, those AIs utilize different self-play or advanced self-play mechanisms. ...
arXiv:2111.07631v1
fatcat:g4sbl6v73rg4jdijj4qfi3eusq
ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games
[article]
2019
arXiv
pre-print
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In this paper we present a new framework for research in reinforcement learning in n-player games. ...
While playing a Nash equilibrium strategy in a two-player zero-sum game is optimal, in an n-player general sum game, it becomes a much less informative solution concept. ...
To that end, we have created a framework for reinforcement learning in n-player general sum games. ...
arXiv:1912.04451v1
fatcat:m5zhpxpwcvax3hg6mmjjmtzefq
Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration
[article]
2020
arXiv
pre-print
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Expert Iteration (ExIt) is an effective framework for learning game-playing policies from self-play. ...
Thirdly, a trained exploratory policy is used to diversify the trajectories experienced in self-play. ...
We thank Shayegan Omidshafiei for guidance on the α-rank evaluations. ...
arXiv:2006.00283v1
fatcat:egdnda3jovf47jpfjyfguktvse
Correlation-based approach to analysis of spiking networks
2010
BMC Neuroscience
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We demonstrate that the resulting Linear-Nonlinear-Hawkes (LNH) framework is capable of capturing the dynamics of spike trains with a generally richer multi-correlation structure. ...
Here, we extend this framework by deriving closed-form expressions for the correlation structure of a more powerful multivariate self-and mutually-exciting Hawkes model class that is driven by exogenous ...
We demonstrate that the resulting Linear-Nonlinear-Hawkes (LNH) framework is capable of capturing the dynamics of spike trains with a generally richer multi-correlation structure. ...
doi:10.1186/1471-2202-11-s1-p182
pmcid:PMC3090890
fatcat:tit3xsmcnbhuhe2vu5xfea2t7q
A Comparison of Self-Play Algorithms Under a Generalized Framework
[article]
2020
arXiv
pre-print
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This framework is framed as an approximation to a theoretical solution concept for multiagent training. ...
We also provide insights on interpreting quantitative metrics of performance for self-play training. ...
Gupta for his insightful conversations and work on Nash averaging. ...
arXiv:2006.04471v1
fatcat:6jpsg2hpknb7jbkrd7pmhrbn5u
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making – A Review
[article]
2019
arXiv
pre-print
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We then introduce self-play scenarios and how they can be used to teach self-learning agents through a supportive environment which focuses on how the agents can adapt to different real-world environments ...
Once generalization is achieved, we discuss how these can be used to develop self-learning agents. ...
Fictitious Self-Play is a machine learning framework that implements fictitious play in a sample-based fashion [36] . ...
arXiv:1910.08942v1
fatcat:wbpy3iijhbfwxeatiy4ztt5f2m
Hyper-Parameter Sweep on AlphaZero General
[article]
2019
arXiv
pre-print
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Overall, experimental results show that different values can lead to different training results, proving the importance of such a parameter sweep. ...
For each parameter, we train 3 models using 3 different values (minimum value, default value, maximum value). ...
During a pure iteration, the first stage is self-play. The player plays several games against to itself to generate games data for further training. ...
arXiv:1903.08129v1
fatcat:ostlc34i3nan3eajxj36nveqwa
Do cognitive training strategies improve motor and positive psychological skills development in soccer players? Insights from a systematic review
2016
Journal of Sports Sciences
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Regarding imagery, the combination of two different types of cognitive imagery training (i.e., cognitive general and cognitive specific) have a positive influence on soccer performance during training, ...
age, standard and playing position of the players. ...
Theoretical/conceptual framework Assuming a well-established theoretical perspective is crucial for conducting a scientifically sound psychological investigation, both for designing an intervention and ...
doi:10.1080/02640414.2016.1254809
pmid:27842463
fatcat:cm7qbg6sgvfsxb2zplexhj6kx4
Leaping through Hurdles: Adaptability among Female Athletes
2021
International Journal of Human Movement and Sports Sciences
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Moreover, the authors recommend the RID Adaptation Framework as a guide for the athletes to play and future researchers for further investigation and improvement of this context. ...
Basketball is a popular team sport played mostly by men. However, female athletes are quite daunting to play. ...
Sumile for approval of the study. Our indebted gratitude to Dr. Maria Gloria R. Lugo, Mr. Jumher Dave J. Pajarillaga, and Ms. Niña Alyssa M. Santiago for the nitty-gritty of this paper. ...
doi:10.13189/saj.2021.091308
fatcat:sjn6dyoyrrg6pnqm4g2vdf3auq
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
[article]
2020
arXiv
pre-print
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As a result, we extend the self-play framework to jointly learn a goal and environment curriculum, leading to an approach that learns the most fruitful domain randomization strategy with self-play. ...
Recent work on robotic agents has shown that varying the environment during training, for example with domain randomization, leads to more robust transfer. ...
Advanced Research (CI-FAR) and Nvidia for donating a DGX-1 for computation. ...
arXiv:2002.07911v2
fatcat:7csdcamosjejdbajospd2z6xbm
Rapid prototyping framework for robot-assisted training of autistic children
2014
The 23rd IEEE International Symposium on Robot and Human Interactive Communication
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This paper describes a rapid prototyping framework for robot-assisted training of children with Autism Spectrum Disorder (ASD). ...
The main goal of this research is to provide a framework which translates the knowledge from the evidenced Pivotal Response Training to end-user tools, that allow therapists to program/adapt a training ...
ACKNOWLEDGMENT We would like to acknowledge ZonMW, The Netherlands Organization for Health Research and Development (project number 95103010, ZonMW Programma Translationeel Onderzoek). ...
doi:10.1109/roman.2014.6926278
dblp:conf/ro-man/KimBL14
fatcat:oswm3acn3jcm5hichdddchrgiu
Building a Conversational Agent Overnight with Dialogue Self-Play
[article]
2018
arXiv
pre-print
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We propose Machines Talking To Machines (M2M), a framework combining automation and crowdsourcing to rapidly bootstrap end-to-end dialogue agents for goal-oriented dialogues in arbitrary domains. ...
In the first phase, a simulated user bot and a domain-agnostic system bot converse to exhaustively generate dialogue "outlines", i.e. sequences of template utterances and their semantic parses. ...
Acknowledgements We thank Georgi Nikolov, Amir Fayazi, Anna Khasin and Grady Simon for valuable support in design, implementation and evaluation of M2M.
References ...
arXiv:1801.04871v1
fatcat:l7drdfikljhuzdbsixv5r5o6zi
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
[article]
2020
arXiv
pre-print
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In this paper, we proposed a novel end-to-end self-organizing framework for user behavior prediction. ...
With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. ...
To tackle the shortages mentioned above, we develop a self-organizing framework, which is able to explore the optimal topology of neural network architecture through training data. ...
arXiv:2010.12662v1
fatcat:3vknt7yvfvaybby2namglt6ffy
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2103.13173v1 fatcat:izhunrf6vzhhtnk3mrt2fcqcu4
We design a plug-and-play self-adversarial framework for the gaze feature purification. ...
Different from common domain adaption methods, we propose a domain generalization method to improve the cross-domain performance without touching target samples. ...
A.6. Pseudo Code We also provide the pseudo code of the self-adversarial framework (PureGaze) in Fig. 12 . ...
arXiv:2103.13173v2
fatcat:i6sw7keyj5cw3cin2znqexjsxq
Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
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In this paper, we study a recently proposed approach for building an agent for arbitrary tasks by combining dialogue self-play and crowd-sourcing to generate fully-annotated dialogues with diverse and ...
For goal-oriented dialogues, such datasets are expensive to collect and annotate, since each task involves a separate schema and database of entities. ...
The self-play step also uses a programmed system agent that generates valid system turns for a given task. ...
doi:10.18653/v1/n18-3006
dblp:conf/naacl/ShahHLT18
fatcat:hcqveak5ena7rgi25wd73xjrf4
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