[图书][B] Deep Reinforcement Learning
H Dong - Springer
Deep reinforcement learning (DRL) combines deep learning (DL) with a reinforcement
learning (RL) architecture. It has been able to perform a wide range of complex decision …
learning (RL) architecture. It has been able to perform a wide range of complex decision …
[图书][B] Deep Reinforcement Learning: Fundamentals, Research and Applications
H Dong, Z Ding, S Zhang - 2020 - books.google.com
Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and
deep learning. It has been able to solve a wide range of complex decision-making tasks that …
deep learning. It has been able to solve a wide range of complex decision-making tasks that …
[引用][C] Deep reinforcement learning: fundamentals, research and applications
H Dong, Z Ding, S Zhang - (No Title) - cir.nii.ac.jp
Deep reinforcement learning : fundamentals, research and applications | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
Deep Reinforcement Learning Fundamentals, Research and Applications
J Zhang, H Yuan, H Dong, Z Ding, Y Huang, H Zhang… - Springer
Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and
deep learning. It has been able to solve a wide range of complex decision-making tasks that …
deep learning. It has been able to solve a wide range of complex decision-making tasks that …
[引用][C] Deep reinforcement learning: fundamentals, research and applications
H Dong, Z Ding, S Zhang - (No Title) - cir.nii.ac.jp
Deep reinforcement learning : fundamentals, research and applications | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …