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Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2634441 |
| _version_ | 1780959709858103296 |
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| author | Lapan, Maxim |
| author_facet | Lapan, Maxim |
| author_sort | Lapan, Maxim |
| collection | CERN |
| id | cern-2634441 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| publisher | Packt Publishing |
| record_format | invenio |
| spelling | cern-26344412021-04-21T18:44:31Zhttp://cds.cern.ch/record/2634441engLapan, MaximDeep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and moreComputing and ComputersPackt Publishingoai:cds.cern.ch:26344412018 |
| spellingShingle | Computing and Computers Lapan, Maxim Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title | Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title_full | Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title_fullStr | Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title_full_unstemmed | Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title_short | Deep reinforcement learning hands-on: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more |
| title_sort | deep reinforcement learning hands-on: apply modern rl methods, with deep q-networks, value iteration, policy gradients, trpo, alphago zero and more |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2634441 |
| work_keys_str_mv | AT lapanmaxim deepreinforcementlearninghandsonapplymodernrlmethodswithdeepqnetworksvalueiterationpolicygradientstrpoalphagozeroandmore |