[PDF] Top 20 Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy
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Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy
... In the "three" map, the results are improving but still ...unsatisfactory. The agent was only start- ing to understand how to avoid losing every SC it ...wins in this ... See full document
93
A Reinforcement Learning Environment for Cooperative Multi-Agent Games: Enhancing Negotiation Skills
... that deep reinforcement learning agents face is coming up with a mean- ingful representation of the input information they ...receive. The difficulty of this challenge ... See full document
91
A multi-agent system for electronic commerce including adaptive strategic behaviours
... for the best weighted combination of tactics in each situation, Reinforcement Learning seems to be promising as it learns ...online. In contrast, Supervised Learning is ... See full document
15
Detection of abnormalities in ECG using Deep Learning
... Given the high performance of the autoencoder for feature extraction of the key char- acteristics that determine the representation of a normal ECG, the ... See full document
80
THE LEARNING OF SCIENCES: A GRADUAL CHANGE IN THE WAY OF LEARNING. THE CASE OF VISION
... allowed the authors to corroborate the proposed premises. In that sense, the first model built by students has made us explicitly consider light, in the vision process, with ... See full document
19
Reinforcement Learning para treino do Pac-Man em Speedrun / Reinforcement Learning for Pac-Man Speedrun Training
... De acordo com Ouderra [18] Q-Learning usa tabela de dados que contêm os Q-values de pares de estado e ação, porém, devido ao enorme tamanho do espaço de estado no Pac-Man, a quantidade necessária de memória e o ... See full document
31
Automatic generation of textual explanations in deep learning
... [106]. The first approach was the simplest among the three models, which resulted in worse ...Although the model was capa- ble of generating coherent and grammatically correct ... See full document
85
Strategic Implications of E-learning in Quality and Productivity
... measures the beneficial results from a training program. Benefits come in two types: (1) tangible benefits are those that can be measured such as a sales training program increased sales by 5 percent or a ... See full document
13
Learning Capabilities and Organisational Learning – the Strategic Role of Information Systems in the Knowledge Economy
... simplification, of these citations is just: «think and ...profound, of this study. We cited the information era and the knowledge society, but we all live, recognise and suffer from ... See full document
8
Deep Learning in Melanoma Detection
... review of the state-of-the-art in deep learning and transfer learning approaches was done, detailing some of its advances since the origin of ... See full document
77
Reinforcement Learning para Problemas de Otimização
... Terminada a escolha da matriz e do melhor período de treino, foi necessário realizar novos testes ao algoritmo de Reinforcement Learning de forma a verificar se os resultados obtidos de facto melhoraram. Os ... See full document
41
Simulation games as tools for integrative dynamic learning: The case of the management course at the University of Algarve
... Today, in order to people or organizations survive in a changing environment it is essential to ...adapt. Learning provided to people is a key feature for an active response since it implies ... See full document
11
Endogenous Price Bubbles in a Multi-Agent System of the Housing Market.
... simple multi-agent model for the U.S. housing mar- ket. The development of better models for the housing market is of high importance, in the light of ... See full document
10
International conflict and strategic games
... from the classical linear regression equation and look for functionals based on boundary conditions and logical ...considerations. In mathematical terms, it may lead to the expressing of ... See full document
23
Functionalities of multi-agent systems in Programmable Logic Controllers
... Abstract: The consumer market ever more calls for diversified products in small batches and the industry lacks production systems that meet the demands with efficiency and ability to adapt ... See full document
5
Games in the environmental context and their strategic use for environmental education
... propose the digital game as pedagogical strategic grounded in philosophical hermeneutics of Hans-Georg (Gadamer, 1996), as privileged matrix, able to illuminate a critical and reflective ... See full document
8
Games and simulations in distance learning: the AIDLET Model
... boost in effectiveness will facilitate an increasing uptake of serious games in the short term, even if simulations have a longer association of its use to support education and ... See full document
21
STRATEGIC ENTREPRENEURSHIP: A CASE IN THE BRAZILIAN AUTOMOBILE INDUSTRY
... phenomenon of strategic administration within the automobile industry: the creation of the automaker Troller Veículos Especiais ...(TVE). The case study at hand is ... See full document
21
Dynamic equilibrium through reinforcement learning
... that the agent perceives the environment, this means that the agent will receive information, in general through sensors, about properties of a physical or virtual ...from ... See full document
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MAS-ML 2.0: supporting the modelling of multi-agent systems with different agent architectures
... variety of agents that interact with each other to achieve their ...each agent has a particular internal architecture defining its main structure that gives support to the interaction among the ... See full document
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