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Learning to Cooperate with Completely Unknown Teammates 学会与完全不认识的队友合作
Portuguese Conference on Artificial Intelligence Pub Date : 2022-05-06 DOI: 10.48550/arXiv.2205.03289
Alexandre Neves, Alberto Sardinha
{"title":"Learning to Cooperate with Completely Unknown Teammates","authors":"Alexandre Neves, Alberto Sardinha","doi":"10.48550/arXiv.2205.03289","DOIUrl":"https://doi.org/10.48550/arXiv.2205.03289","url":null,"abstract":". A key goal of ad hoc teamwork is to develop a learning agent that cooperates with unknown teams, without resorting to any pre-coordination protocol. Despite a vast number of ad hoc teamwork algorithms in the literature, most of them cannot address the problem of learning to cooperate with a completely unknown team, unless it learns from scratch. This article presents a novel approach that uses transfer learning alongside the state-of-the-art PLASTIC-Policy to adapt to completely unknown teammates quickly. We test our solution within the Half Field Offense simulator with five different teammates. The teammates were designed independently by developers from different countries and at different times. Our empirical evaluation shows that it is advantageous for an ad hoc agent to leverage its past knowledge when adapting to a new team instead of learning how to cooperate with it from scratch.","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment 多智能体环境中分层结构的任务调度与执行
Portuguese Conference on Artificial Intelligence Pub Date : 2022-03-06 DOI: 10.48550/arXiv.2203.03021
Diogo S. Carvalho, B. Sengupta
{"title":"Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment","authors":"Diogo S. Carvalho, B. Sengupta","doi":"10.48550/arXiv.2203.03021","DOIUrl":"https://doi.org/10.48550/arXiv.2203.03021","url":null,"abstract":"In a warehouse environment, tasks appear dynamically. Consequently, a task management system that matches them with the workforce too early (e.g., weeks in advance) is necessarily sub-optimal. Also, the rapidly increasing size of the action space of such a system consists of a significant problem for traditional schedulers. Reinforcement learning, however, is suited to deal with issues requiring making sequential decisions towards a long-term, often remote, goal. In this work, we set ourselves on a problem that presents itself with a hierarchical structure: the task-scheduling, by a centralised agent, in a dynamic warehouse multi-agent environment and the execution of one such schedule, by decentralised agents with only partial observability thereof. We propose to use deep reinforcement learning to solve both the high-level scheduling problem and the low-level multi-agent problem of schedule execution. Finally, we also conceive the case where centralisation is impossible at test time and workers must learn how to cooperate in executing the tasks in an environment with no schedule and only partial observability.","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131021478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL 用C-SPARQL逼近流推理的深度神经网络
Portuguese Conference on Artificial Intelligence Pub Date : 2021-06-15 DOI: 10.1007/978-3-030-86230-5_27
Ricardo Ferreira, Carolina Magalhães Lopes, Ricardo Gonccalves, Matthias Knorr, L. Krippahl, João Leite
{"title":"Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL","authors":"Ricardo Ferreira, Carolina Magalhães Lopes, Ricardo Gonccalves, Matthias Knorr, L. Krippahl, João Leite","doi":"10.1007/978-3-030-86230-5_27","DOIUrl":"https://doi.org/10.1007/978-3-030-86230-5_27","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131145044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Fair Remuneration of Energy Consumption Flexibility Using Shapley Value 基于Shapley值的能源消费弹性公平报酬
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30241-2_45
Ricardo Faia, T. Pinto, Z. Vale
{"title":"Fair Remuneration of Energy Consumption Flexibility Using Shapley Value","authors":"Ricardo Faia, T. Pinto, Z. Vale","doi":"10.1007/978-3-030-30241-2_45","DOIUrl":"https://doi.org/10.1007/978-3-030-30241-2_45","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121811248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Agent-Based Education Environment in Museums 基于主体的博物馆教育环境
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30244-3_3
I. Satoh
{"title":"Agent-Based Education Environment in Museums","authors":"I. Satoh","doi":"10.1007/978-3-030-30244-3_3","DOIUrl":"https://doi.org/10.1007/978-3-030-30244-3_3","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review 自然启发的元启发式及其在农业中的应用综述
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30241-2_15
Jorge Miguel Ferreira da Silva Mendes, Paulo Moura Oliveira, F. Santos, Raul Morais
{"title":"Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review","authors":"Jorge Miguel Ferreira da Silva Mendes, Paulo Moura Oliveira, F. Santos, Raul Morais","doi":"10.1007/978-3-030-30241-2_15","DOIUrl":"https://doi.org/10.1007/978-3-030-30241-2_15","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125386160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams 基于多模态深度学习的胸部放射学检查分类方法
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30241-2_28
Nelson Nunes, Bruno Martins, Nuno-André Silva, Francisca Leite, Mário J. Silva
{"title":"A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams","authors":"Nelson Nunes, Bruno Martins, Nuno-André Silva, Francisca Leite, Mário J. Silva","doi":"10.1007/978-3-030-30241-2_28","DOIUrl":"https://doi.org/10.1007/978-3-030-30241-2_28","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115487283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Extending Local Search in Geometric Semantic Genetic Programming 几何语义遗传规划中的扩展局部搜索
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30241-2_64
M. Castelli, L. Manzoni, L. Mariot, Martina Saletta
{"title":"Extending Local Search in Geometric Semantic Genetic Programming","authors":"M. Castelli, L. Manzoni, L. Mariot, Martina Saletta","doi":"10.1007/978-3-030-30241-2_64","DOIUrl":"https://doi.org/10.1007/978-3-030-30241-2_64","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121930382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A Recommender System for Telecommunication Operators' Campaigns 电讯营运商宣传活动的推荐系统
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30244-3_8
Diogo Alves, Bruno Valente, R. Filipe, Maria Castro, Luís Macedo
{"title":"A Recommender System for Telecommunication Operators' Campaigns","authors":"Diogo Alves, Bruno Valente, R. Filipe, Maria Castro, Luís Macedo","doi":"10.1007/978-3-030-30244-3_8","DOIUrl":"https://doi.org/10.1007/978-3-030-30244-3_8","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134536831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification SimpleLSTM:简单索赔分类的深度学习方法
Portuguese Conference on Artificial Intelligence Pub Date : 2019-09-03 DOI: 10.1007/978-3-030-30244-3_21
Piyush Chawla, Diego Esteves, Karthik Pujar, Jens Lehmann
{"title":"SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification","authors":"Piyush Chawla, Diego Esteves, Karthik Pujar, Jens Lehmann","doi":"10.1007/978-3-030-30244-3_21","DOIUrl":"https://doi.org/10.1007/978-3-030-30244-3_21","url":null,"abstract":"","PeriodicalId":382392,"journal":{"name":"Portuguese Conference on Artificial Intelligence","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133212693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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