REINFORCEMENT LEARNING IN COMBINATORIAL ACTION SPACES

• 1. 基于区间中智理论的专业学习能力评价方法及系统 [P] . 中国专利： CN112766765A . 2021-05-07
• 2. 双曲空间中区分数据类型的知识图谱表示学习方法 [P] . 中国专利： CN113673703A . 2021-11-19
• 3. REINFORCEMENT LEARNING IN COMBINATORIAL ACTION SPACES [P] . 世界知识产权组织专利： WO2019222746A1 . 2019-11-21

  机译： 组合动作空间中的强化学习

• 4. GENERATING AND PROVIDING PROPOSED DIGITAL ACTIONS IN HIGH-DIMENSIONAL ACTION SPACES USING REINFORCEMENT LEARNING MODELS [P] . 美国专利： US2020241878A1 . 2020-07-30

  机译： 使用强化学习模型在高维动作空间中生成和提供建议的数字动作

• 5. System and method for garbage collection in a computer system, which uses reinforcement learning to adjust the allocation of memory space, calculate a reward, and use the reward to determine further actions to be taken on the memory space [P] . 美国专利： US7174354B2 . 2007-02-06

  机译： 用于计算机系统中的垃圾收集的系统和方法，该系统和方法使用强化学习来调整内存空间的分配，计算奖励并使用奖励来确定要对内存空间采取的进一步操作

• 1. Exploring Local Chemical Space in De Novo Molecular Generation Using Multi-Agent Deep Reinforcement Learning [J] . Wei Hu 自然科学期刊（英文） . 2021,第009期
• 2. Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning [J] . Yongliang Yang, Zihao Ding, Rui Wang, 自动化学报（英文版） . 2022,第001期
• 3. Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads [C] . Ji He, Mari Ostendorf, Xiaodong He, Conference on empirical methods in natural language processing . 2016
• 4. Learning state and action space hierarchies for reinforcement learning using action -dependent partitioning. [D] . Asadi, Mehran. 2006
• 5. Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values [O] . Samuel J. Gershman, Bijan Pesaran, Nathaniel D. Daw 2009
• 6. Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads [O] . He, Ji, Ostendorf, Mari, He, Xiaodong, 2016

• 1. Multiple Action Sequence Learning and Automatic Generation for a Humanoid Robot Using RNNPB and Reinforcement Learning [J] . Takashi Kuremoto ,Koichi Hashiguchi ,Keita Morisaki . 软件工程与应用（英文） . 2012,第12期
• 2. Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression [J] . Julio H. Zaragoza ,Eduardo F. Morales . 智能学习系统与应用（英文） . 2010,第2期
• 3. Control Task for Reinforcement Learning with Known Optimal Solution for Discrete and Continuous Actions [J] . Michael C. ROTTGER ,Andreas W. LIEHR . 智能学习系统与应用（英文） . 2009,第1期
• 4. 高真空击密加固法在吹填土地基加固中的应用 [C] . 朱胜利 ,王福春 . 全国超软土地基排水固结与加固技术研讨会 . 2010
• 5. 真空预压法加固机理和加固效果试验研究 [A] . 胡珩 . 2007