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Richardson Ribeiro
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2020 – today
- 2022
- [j12]Darlan Felipe Klotz
, Richardson Ribeiro, Fabrício Enembreck
Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums. Expert Syst. Appl. 187: 115876 (2022) - [j11]Ricardo R. Lângaro, Marcelo Teixeira
Optimization of Switch Allocation Problems in Power Distribution Networks. J. Sens. Actuator Networks 11(4): 77 (2022) - 2021
- [j10]Kallil M. C. Zielinski
Flexible control of Discrete Event Systems using environment simulation and Reinforcement Learning. Appl. Soft Comput. 111: 107714 (2021) - [j9]Lucas Schmidt, Dalcimar Casanova, Richardson Ribeiro, Marcelo Teixeira
A combined solution for flexible control of poultry houses. Int. J. Comput. Appl. Technol. 67(2/3): 232-243 (2021) - 2020
- [j8]Mainara Cristina Lorencena, Luiz Fernando Puttow Southier, Dalcimar Casanova
A framework for modelling, control and supervision of poultry farming. Int. J. Prod. Res. 58(10): 3164-3179 (2020) - [i2]Kallil M. C. Zielinski, Marcelo Teixeira, Richardson Ribeiro, Dalcimar Casanova
Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper. CoRR abs/2006.16035 (2020) - [i1]Darlan Felipe Klotz, Richardson Ribeiro, Fabrício Enembreck, Gustavo Weber Denardin, Marco A. C. Barbosa, Dalcimar Casanova
Estimating action plans for smart poultry houses. CoRR abs/2008.07356 (2020)
2010 – 2019
- 2019
- [j7]Richardson Ribeiro, Dalcimar Casanova
Generating action plans for poultry management using artificial neural networks. Comput. Electron. Agric. 161: 131-140 (2019) - 2017
- [j6]André Lucas Silva, Richardson Ribeiro, Marcelo Teixeira
Modeling and control of flexible context-dependent manufacturing systems. Inf. Sci. 421: 1-14 (2017) - [c24]Richardson Ribeiro, Fabrício Enembreck
An Advanced Software Tool to Simulate Service Restoration Problems: a case study on Power Distribution Systems. ICCS 2017: 675-684 - 2016
- [c23]Douglas M. Guisi, Richardson Ribeiro, Marcelo Teixeira
Reinforcement Learning with Multiple Shared Rewards. ICCS 2016: 855-864 - [c22]Eden R. Dosciatti, Marcelo Teixeira, Richardson Ribeiro, Marco A. C. Barbosa, Fábio Favarim, Fabrício Enembreck, Dieky Adzkiya
Resources Planning in Database Infrastructures. ICEIS (1) 2016: 53-62 - [c21]Douglas M. Guisi, Richardson Ribeiro, Marcelo Teixeira, André Pinz Borges, Eden R. Dosciatti, Fabrício Enembreck:
A Hybrid Interaction Model for Multi-Agent Reinforcement Learning. ICEIS (2) 2016: 54-61 - [c20]Richardson Ribeiro, Douglas M. Guisi, Marcelo Teixeira
Combination of Interaction Models for Multi-Agents Systems. ICEIS (Revised Selected Papers) 2016: 107-121 - 2015
- [j5]Marcelo Teixeira
A quality-driven approach for resources planning in Service-Oriented Architectures. Expert Syst. Appl. 42(12): 5366-5379 (2015) - [j4]Vinicius Pegorini
In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning. Sensors 15(11): 28456-28471 (2015) - [c19]Marcelo Teixeira
A modeling architecture for the orchestration of service components in factory automation. ETFA 2015: 1-8 - [c18]André Pinz Borges, Osmar Betazzi Dordal, Emerson L. dos Santos, Richardson Ribeiro, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
An approach for train driving using case-based reasoning. ECC 2015: 1037-1043 - [c17]André Pinz Borges, Osmar Betazzi Dordal, Richardson Ribeiro, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
Generation of Economical Driving Plans Using Continuous Case-Based Planning. ICEIS (Revised Selected Papers) 2015: 192-213 - [c16]André Pinz Borges, Osmar Betazzi Dordal, Richardson Ribeiro, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
An Economic Approach for Generation of Train Driving Plans using Continuous Case-based Planning. ICEIS (1) 2015: 440-451 - [c15]Richardson Ribeiro, Marcelo Teixeira, André L. Wirth, André Pinz Borges, Fabrício Enembreck:
A Learning Model for Intelligent Agents Applied to Poultry Farming. ICEIS (1) 2015: 495-503 - 2014
- [c14]André Pinz Borges, Osmar Betazzi Dordal
A multi-layer architecture proposal for conducting trains employing CBR. CSCWD 2014: 23-28 - [c13]Marcelo Teixeira
A Formal Method Applied to the Automated Software Engineering with Quality Guarantees. ISSRE Workshops 2014: 108-111 - 2013
- [j3]Richardson Ribeiro, Fabrício Enembreck
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems. Expert Syst. Appl. 40(5): 1814-1826 (2013) - [c12]Richardson Ribeiro, Adriano F. Ronszcka, Marco A. C. Barbosa, Fabrício Enembreck
Coordinating Agents in Dynamic Environment. ICEIS 2013: 137-153 - [c11]Richardson Ribeiro, Adriano F. Ronszcka, Marco A. C. Barbosa, Fábio Favarim, Fabrício Enembreck:
Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments. ICEIS (1) 2013: 345-356 - 2012
- [c10]Richardson Ribeiro, Fábio Favarim, Marco A. C. Barbosa, Alessandro L. Koerich, Fabrício Enembreck
Combining Learning Algorithms: An Approach to Markov Decision Processes. ICEIS 2012: 172-188 - [c9]Richardson Ribeiro, Fábio Favarim, Marco A. C. Barbosa, André Pinz Borges, Osmar Betazzi Dordal, Alessandro L. Koerich, Fabrício Enembreck:
Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments - An Instance-based Approach. ICEIS (1) 2012: 229-238 - 2011
- [j2]Richardson Ribeiro, André Pinz Borges, Adriano Francisco Ronszcka, Edson Emílio Scalabrin, Bráulio Coelho Ávila, Fabrício Enembreck:
Combinando Modelos de Interação para Melhorar a Coordenação em Sistemas Multiagente. RITA 18(1): 133-157 (2011) - [c8]André Pinz Borges, Jones Granatyr, Osmar Betazzi Dordal
Knowledge discovery applied in modal rail. CSCWD 2011: 253-260 - [c7]Osmar Betazzi Dordal
Towards an optimal driving trains in single line using crossing loops. CSCWD 2011: 772-779 - [c6]Osmar Betazzi Dordal
Strong reduction in fuel consumption driving trains in bi-directional single line using crossing loops. SMC 2011: 1597-1602 - 2010
- [j1]Richardson Ribeiro, Fabrício Enembreck:
Estratégias de Atualização de Políticas para a Coordenação de Agentes Baseados em Enxames. RITA 17(3): 364-388 (2010)
2000 – 2009
- 2009
- [c5]André Pinz Borges, Richardson Ribeiro, Bráulio Coelho Ávila, Fabrício Enembreck
A learning agent to help drive vehicles. CSCWD 2009: 282-287 - [c4]Richardson Ribeiro, André Pinz Borges, Alessandro L. Koerich, Edson Emílio Scalabrin, Fabrício Enembreck
A Strategy for Converging Dynamic Action Policies. IEEE IA 2009: 136-143 - 2008
- [c3]Richardson Ribeiro, André Pinz Borges, Fabrício Enembreck
Interaction Models for Multiagent Reinforcement Learning. CIMCA/IAWTIC/ISE 2008: 464-469 - 2007
- [c2]Richardson Ribeiro, Alessandro L. Koerich, Fabrício Enembreck
Noise Tolerance in Reinforcement Learning Algorithms. IAT 2007: 265-268 - 2006
- [c1]Richardson Ribeiro, Fabrício Enembreck, Alessandro L. Koerich:
A Hybrid Learning Strategy for Discovery of Policies of Action. IBERAMIA-SBIA 2006: 268-277
Coauthor Index
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