Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Richard S. Sutton, Doina Precup, Satinder Singh
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Citation edge evidence
- Deep learning in neural networks: An overview→Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learningLegacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learningLegacy edge — source detail unavailable
- Dynamic bayesian networks: representation, inference and learning→Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learningLegacy edge — source detail unavailable
- Transfer Learning for Reinforcement Learning Domains: A Survey→Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learningLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learningLegacy edge — source detail unavailable
- Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning→A qualitative physics based on confluencesLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Reinforcement Learning: An Introduction→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Reinforcement Learning: An Introduction | 2005 | 25,758 |
| Dynamic Programming and Markov Processes. | 1961 | 3,461 |
| A qualitative physics based on confluences | 1984 | 1,500 |
What cites it, inside the corpus
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Topics
| Reinforcement Learning in Robotics | Computer Science |
| Formal Methods in Verification | Computer Science |
| Advanced Software Engineering Methodologies | Computer Science |
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