Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Research Topic Learning goal-directed behavior in environments with sparse feedback is a major challenge for reinforcement learning algorithms. 这里有两个名词需要注意：goal-directed behavior, sparse feedback 这篇文章
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相关文章
- 1. [强化学习论文] (HDQN) Integrating Temporal Abstraction and Intrinsic Motivation
- 2. Reinforcement learning: integrating learning and planning, exploitation and exploration
- 3. Reinforcement learning and Deep learning
- 4. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
- 5. Deep Reinforcement Learning
- 6. Intrinsic Motivation For Encouraging Synergistic Behavior
- 7. HRL相关算法代码整理 及 测试记录
- 8. Relational Deep Reinforcement Learning
- 9. Latent Space Policies for Hierarchical Reinforcement Learning
- 10. Reinforcement Learning, Fast and Slow