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Speeding-up reinforcement learning through abstraction and transfer learning
(Saint Paul, Minnesota, 2013-05-10)
We are interested in the following general question: is it pos-
sible to abstract knowledge that is generated while learning
the solution of a problem, so that this abstraction can ac-
celerate the learning process? ...
Compulsory Flow Q-Learning: an RL algorithm for robot navigation based on partial-policy and macro-states
(Sociedade Brasileira de Computação, 2009)
Reinforcement Learning is carried out on-line, through trial-and-error interactions of the agent with the environment, which can be very time consuming when considering robots. In this paper we contribute a new learning ...
Making Innovation Policy Work: Learning from Experimentation
(Dutz, Mark AKuznetsov, YEVGENYLasagabaster, EsperanzaPilat, Dirk, 2014)
This book explores emerging topics in innovation policy for more inclusive and sustainable growth, building on concrete examples. It develops the notion of experimental innovation policy – which integrates monitoring and ...
A fast hybrid reinforcement learning framework with human corrective feedback
(Springer, 2019)
Reinforcement Learning agents can be supported by feedback from human teachers in the learning loop that guides the learning process. In this work we propose two hybrid strategies of Policy Search Reinforcement Learning ...
Avaliação de Impacto em projetos sociais do terceiro setor: uma contribuição da teoria de policy learning
(2015-02-27)
Esta pesquisa analisará o aprendizado em organizações do terceiro setor a partir de dois eixos principais: 1) Aprendizado através de análises empíricas (Avaliação de Impacto) - Pretende-se entender as principais recomendações ...
Reusing risk-aware stochastic abstract policies in robotic navigation learning
(SpringerNetherlands, 2014-01-26)
In this paper we improve learning performance of a risk-aware robot facing navigation tasks by employing transfer learning; that is, we use information from a previously solved task to accelerate learning in a new task. ...
Policy Learning and Policy Change in a Context of Industry Crisis: The Case of Chilean Salmon Farming Industry
(2015)
This research investigates the policy response to the 2007-2010 sanitary crisis in the Chilean salmon industry, the second largest producer and exporter of salmon in the world. This industry is an emblematic case of the ...
E-LEARNING IN VOCATIONAL EDUCATION: A PORTRAIT OF OFFER AND PUBLIC POLICIES FOR STATE OF SAO PAULO - BRAZIL
(Univ Estadual Paulista-unesp, Fac Ciencias Letras Assis, 2017-08-01)
This article presents a clipping about the current situation of vocational education in E-learning based in State of Sao Paulo Technical Schools. Through documentary research, it shows that the public offering of the ...
Government policies and sources of latecomer firms' capability building: A learning story from Brazil
(2007)
Although much has been written about the implications of the structural reforms of the 1990s for industrial progress in developing countries, especially in Latin America, less attention has been given to the role of meso ...
Guide to Developing Enabling Policies for Digital and Open Teaching and Learning
This guide is designed to support the development of enabling institutional policies for digital and
open teaching and learning.
Benefit of this resource and how to make the best use of it
Part I defines the concept ...