Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Deutsch |
| Veröffentlicht: |
München
Inst. für Informatik
1990
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| Schriftenreihe: | Forschungsberichte Künstliche Intelligenz
126 |
| Beschreibung: | Literaturverz. Bl. 24 - 26 |
| Umfang: | 26 Bl. graph. Darst. |
Internformat
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| 245 | 1 | 0 | |a Making the world differentiable |b on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments |c Jürgen H. Schmidhuber. TUM, Technische Universität München, Institut für Informatik |
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| 490 | 1 | |a Forschungsberichte Künstliche Intelligenz |v 126 | |
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Datensatz im Suchindex
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| id | DE-604.BV005438484 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T08:33:30Z |
| institution | BVB |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-003401807 |
| oclc_num | 75269351 |
| open_access_boolean | |
| owner | DE-12 DE-91G DE-BY-TUM |
| owner_facet | DE-12 DE-91G DE-BY-TUM |
| physical | 26 Bl. graph. Darst. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | Inst. für Informatik |
| record_format | marc |
| series | Forschungsberichte Künstliche Intelligenz |
| series2 | Forschungsberichte Künstliche Intelligenz |
| spellingShingle | Schmidhuber, Jürgen 1963- Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments Forschungsberichte Künstliche Intelligenz |
| title | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments |
| title_auth | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments |
| title_exact_search | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments |
| title_full | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments Jürgen H. Schmidhuber. TUM, Technische Universität München, Institut für Informatik |
| title_fullStr | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments Jürgen H. Schmidhuber. TUM, Technische Universität München, Institut für Informatik |
| title_full_unstemmed | Making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments Jürgen H. Schmidhuber. TUM, Technische Universität München, Institut für Informatik |
| title_short | Making the world differentiable |
| title_sort | making the world differentiable on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non stationary environments |
| title_sub | on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments |
| volume_link | (DE-604)BV008930053 |
| work_keys_str_mv | AT schmidhuberjurgen makingtheworlddifferentiableonusingselfsupervisedfullyrecurrentneuralnetworksfordynamicreinforcementlearningandplanninginnonstationaryenvironments |
Paper/Kapitel scannen lassen
Teilbibliothek Mathematik & Informatik, Berichte
| Signatur: |
0111 2001 B 6082-126
Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |