Advanced search
Publication Cover
Connection Science Volume 26, 2014 - Issue 1: Adaptive Learning Agents, Part 1
Submit an article Journal homepage
2,723
Views
42
CrossRef citations to date
0
Altmetric
Articles

Reinforcement learning agents providing advice in complex video games

Matthew E. TaylorSchool of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USACorrespondence[email protected]
,
Nicholas CarboniPHD Virtual Technologies, Morris Plains, NJ, USA
,
Anestis FachantidisDepartment of Computer Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
,
Ioannis VlahavasDepartment of Computer Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
&
Lisa TorreyDepartment of Mathematics, Computer Science, and Statistics, St. Lawrence University, Canton, NY, USA
Pages 45-63 | Received 01 Sep 2013, Accepted 19 Nov 2013, Published online: 13 Mar 2014

Citations (42)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Francisco Cruz, Sven Magg, Yukie Nagai & Stefan Wermter. (2018) Improving interactive reinforcement learning: What makes a good teacher?. Connection Science 30:3, pages 306-325.
Read now

Articles from other publishers (41)

Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew & Cameron Foale. (2021) Persistent rule-based interactive reinforcement learning. Neural Computing and Applications 35:32, pages 23411-23428.
Crossref
Matthew E. Taylor, Nicholas Nissen, Yuan Wang & Neda Navidi. (2021) Improving reinforcement learning with human assistance: an argument for human subject studies with HIPPO Gym. Neural Computing and Applications 35:32, pages 23429-23439.
Crossref
Nikunj Gupta, G. Srinivasaraghavan, Swarup Mohalik, Nishant Kumar & Matthew E. Taylor. (2023) hammer: Multi-level coordination of reinforcement learning agents via learned messaging. Neural Computing and Applications.
Crossref
Daniel Harnack, Julie Pivin-Bachler & Nicolás Navarro-Guerrero. (2022) Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks. Neural Computing and Applications 35:23, pages 16931-16943.
Crossref
Changxi Zhu, Yi Cai, Shuyue Hu, Ho-fung Leung & Dickson K. W. Chiu. (2022) Learning by reusing previous advice: a memory-based teacher–student framework. Autonomous Agents and Multi-Agent Systems 37:1.
Crossref
Emine CENGİZ & Murat GÖK. (2023) Reinforcement Learning Applications in Cyber Security: A Review. Sakarya University Journal of Science 27:2, pages 481-503.
Crossref
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew & Cameron Foale. (2021) A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. Journal of Ambient Intelligence and Humanized Computing 14:4, pages 3621-3644.
Crossref
Hung Son Nguyen, Francisco Cruz & Richard Dazeley. (2023) Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments. Sensors 23:5, pages 2681.
Crossref
Sara Comai, Davide Simeone, Silvia Mastrolembo Ventura & Angelo Luigi Camillo Ciribini. (2023) Simulation modelling in a BIM environment: the case of school re-opening during Covid-19 pandemic. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 176:1, pages 12-23.
Crossref
Nicolas Bougie & Ryutaro Ichise. (2021) Hierarchical learning from human preferences and curiosity. Applied Intelligence 52:7, pages 7459-7479.
Crossref
Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo & Andi Zhou. (2020) A novel differentially private advising framework in cloud server environment. Concurrency and Computation: Practice and Experience 34:7.
Crossref
Sanghyun Choo & Chang S. Nam. 2022. Human-Centered Artificial Intelligence. Human-Centered Artificial Intelligence 127 143 .
Davide Simeone, Silvia Mastrolembo Ventura, Sara Comai & Angelo L. C. Ciribini. 2022. Advances in Social Simulation. Advances in Social Simulation 217 229 .
Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu & Congcong Zhu. (2021) Multi‐agent reinforcement learning via knowledge transfer with differentially private noise. International Journal of Intelligent Systems 37:1, pages 799-828.
Crossref
Fabian Fallas-Moya, Jeremiah Duncan, Tabitha Samuel & Amir Sadovnik. (2021) Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning. Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning.
Tonghao Wang, Xingguang Peng & Demin Xu. (2021) S$$^{2}$$ES: a stationary and scalable knowledge transfer approach for multiagent reinforcement learning. Complex & Intelligent Systems 7:5, pages 2735-2750.
Crossref
Nicolas Bougie & Ryutaro Ichise. (2021) Goal-driven active learning. Autonomous Agents and Multi-Agent Systems 35:2.
Crossref
Dmitry Ulyanov & Dmitry Savelyev. (2021) Development and research of learning algorithms for neural networks with reinforcement in the gaming industry. Development and research of learning algorithms for neural networks with reinforcement in the gaming industry.
Ercument Ilhan, Jeremy Gow & Diego Perez-Liebana. (2021) Learning on a Budget via Teacher Imitation. Learning on a Budget via Teacher Imitation.
Felipe Leno da Silva & Anna Helena Reali Costa. (2021) Transfer Learning for Multiagent Reinforcement Learning Systems. Synthesis Lectures on Artificial Intelligence and Machine Learning 15:3, pages 1-129.
Crossref
Gia Thuan Lam, Doina Logofătu & Costin Bădică. (2020) A novel real-time design for fighting game AI. Evolving Systems 12:1, pages 169-176.
Crossref
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong & Yanjie Fu. (2021) Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. IEEE Transactions on Knowledge and Data Engineering, pages 1-1.
Crossref
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge & Yanjie Fu. (2020) AutoFS: Automated Feature Selection via Diversity-Aware Interactive Reinforcement Learning. AutoFS: Automated Feature Selection via Diversity-Aware Interactive Reinforcement Learning.
Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala & Bruno Fernandes. (2020) Deep Reinforcement Learning with Interactive Feedback in a Human–Robot Environment. Applied Sciences 10:16, pages 5574.
Crossref
Felipe Leno Da Silva, Garrett Warnell, Anna Helena Reali Costa & Peter Stone. (2019) Agents teaching agents: a survey on inter-agent transfer learning. Autonomous Agents and Multi-Agent Systems 34:1.
Crossref
Shogo Takeuchi. 2020. Advances in Computer Games. Advances in Computer Games 1 10 .
Gong Xudong, Jia Hongda, Zhou Xing, Feng Dawei, Ding Bo & Xu Jie. 2020. Knowledge Science, Engineering and Management. Knowledge Science, Engineering and Management 39 47 .
Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao & Wanlei Zhou. 2020. Algorithms and Architectures for Parallel Processing. Algorithms and Architectures for Parallel Processing 550 563 .
Zeineb Rejiba, Xavier Masip-Bruin & Eva Marin-Tordera. (2019) Computation Task Assignment in Vehicular Fog Computing: A Learning Approach via Neighbor Advice. Computation Task Assignment in Vehicular Fog Computing: A Learning Approach via Neighbor Advice.
Mu Lin, Tao Wang, Xiao-Bo Li, Jinjun Liu, Yanfeng Wang, Yifan Zhu & Wei-Ping Wang. (2019) An Uncertainty-Incorporated Approach to Predict the Winner in StarCraft II Using Neural Processes. IEEE Access 7, pages 101609-101619.
Crossref
Mohammad Hasan Olyaei, Hasan Jalali, Ali Olyaei & Amin Noori. 2019. Fundamental Research in Electrical Engineering. Fundamental Research in Electrical Engineering 267 279 .
Yuchen Wang, Fenghui Ren & Minjie Zhang. 2019. AI 2019: Advances in Artificial Intelligence. AI 2019: Advances in Artificial Intelligence 15 27 .
Sotaro Tsutsui & Naoki Fukuta. (2018) Efficient Teaching Support to Non-player Learning Agents on Multiplayer Games. Efficient Teaching Support to Non-player Learning Agents on Multiplayer Games.
Yuchen Wang, Fenghui Ren & Minjie Zhang. 2018. PRICAI 2018: Trends in Artificial Intelligence. PRICAI 2018: Trends in Artificial Intelligence 343 351 .
Jinhua Song, Yang Gao & Hao Wang. 2018. Neural Information Processing. Neural Information Processing 350 361 .
Francisco Cruz, Peter Wuppen, Sven Magg, Alvin Fazrie & Stefan Wermter. (2017) Agent-advising approaches in an interactive reinforcement learning scenario. Agent-advising approaches in an interactive reinforcement learning scenario.
Francisco Cruz, Sven Magg, Cornelius Weber & Stefan Wermter. (2016) Training Agents With Interactive Reinforcement Learning and Contextual Affordances. IEEE Transactions on Cognitive and Developmental Systems 8:4, pages 271-284.
Crossref
Francesc Valls, Ernest Redondo, David Fonseca, Pilar Garcia-Almirall & Jordi Subirós. 2016. Human-Computer Interaction. Novel User Experiences. Human-Computer Interaction. Novel User Experiences 436 447 .
Gabriel V. de la Cruz, Bei Peng, Walter S. Lasecki & Matthew E. Taylor. (2015) Towards Integrating Real-Time Crowd Advice with Reinforcement Learning. Towards Integrating Real-Time Crowd Advice with Reinforcement Learning.
Matthew E. Taylor & Lisa Torrey. 2014. Machine Learning and Knowledge Discovery in Databases. Machine Learning and Knowledge Discovery in Databases 524 528 .
Jordi Bieger, Kristinn R. Thórisson & Deon Garrett. 2014. Artificial General Intelligence. Artificial General Intelligence 1 10 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.