Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation
- Author
- TANGKARATT, Voot1 ; MORI, Syogo1 ; ZHAO, Tingting1 ; MORIMOTO, Jun2 ; SUGIYAMA, Masashi1
[1] Tokyo Institute of Technology, Japan
[2] ATR Computational Neuroscience Labs, Japan - Source
Neural networks. 2014, Vol 57, pp 128-140, 13 p ; ref : 1/2 p
- ISSN
- 0893-6080
- Scientific domain
- Cognition; Electronics; Computer science; Neurology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Conditional density estimation Reinforcement learning Transition model estimation
- Keyword (fr)
- Algorithme recherche Apprentissage renforcé Architecture basée modèle Commande optimale Contrôle optimal Descente gradient Estimation densité Mesure densité Modélisation Méthode moindre carré Politique optimale Récompense Modèle donnée Théorie résonance adaptative
- Keyword (en)
- Search algorithm Reinforcement learning Model driven architecture Optimal control Optimal control (mathematics) Gradient descent Density estimation Density measurement Modeling Least squares method Optimal policy Reward Data models Adaptive resonance theory
- Keyword (es)
- Algoritmo búsqueda Aprendizaje reforzado Arquitectura basada modelo Control óptimo Control óptimo (matemáticas) Gradient bajada Estimación densidad Medición densidad Modelización Método cuadrado menor Política óptima Recompensa Modelo de datos Teoría de la resonancia adaptiva
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28640946
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Access to the document
Install on your browser
DOI
10.1016/j.neunet.2014.06.006 
https://dx.doi.org/10.1016/j.neunet.2014.06.006
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"57\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:3:\"128\";s:8:\"\u0000*\u0000epage\";s:3:\"140\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:10:\"TANGKARATT\";s:10:\"\u0000*\u0000aufirst\";s:4:\"Voot\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:4:{i:0;s:11:\"MORI, Syogo\";i:1;s:14:\"ZHAO, Tingting\";i:2;s:13:\"MORIMOTO, Jun\";i:3;s:17:\"SUGIYAMA, Masashi\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"13\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"57\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:3:\"128\";s:8:\"\u0000*\u0000epage\";s:3:\"140\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:10:\"TANGKARATT\";s:10:\"\u0000*\u0000aufirst\";s:4:\"Voot\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:4:{i:0;s:11:\"MORI, Syogo\";i:1;s:14:\"ZHAO, Tingting\";i:2;s:13:\"MORIMOTO, Jun\";i:3;s:17:\"SUGIYAMA, Masashi\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"13\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"57\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:3:\"128\";s:8:\"\u0000*\u0000epage\";s:3:\"140\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:10:\"TANGKARATT\";s:10:\"\u0000*\u0000aufirst\";s:4:\"Voot\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:4:{i:0;s:11:\"MORI, Syogo\";i:1;s:14:\"ZHAO, Tingting\";i:2;s:13:\"MORIMOTO, Jun\";i:3;s:17:\"SUGIYAMA, Masashi\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"13\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"57\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:3:\"128\";s:8:\"\u0000*\u0000epage\";s:3:\"140\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:10:\"TANGKARATT\";s:10:\"\u0000*\u0000aufirst\";s:4:\"Voot\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:4:{i:0;s:11:\"MORI, Syogo\";i:1;s:14:\"ZHAO, Tingting\";i:2;s:13:\"MORIMOTO, Jun\";i:3;s:17:\"SUGIYAMA, Masashi\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"13\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neunet.2014.06.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"57\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:3:\"128\";s:8:\"\u0000*\u0000epage\";s:3:\"140\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:10:\"TANGKARATT\";s:10:\"\u0000*\u0000aufirst\";s:4:\"Voot\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:4:{i:0;s:11:\"MORI, Syogo\";i:1;s:14:\"ZHAO, Tingting\";i:2;s:13:\"MORIMOTO, Jun\";i:3;s:17:\"SUGIYAMA, Masashi\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:109:\"Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation\";s:8:\"\u0000*\u0000place\";s:10:\"Kidlington\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"13\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
