Dynamic Programming and Markov Processes.
Marshall Freimer, Ronald A. Howard low
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Citation edge evidence
- Reinforcement Learning: An Introduction→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Bayesian Networks and Decision Graphs→Dynamic Programming and Markov Processes.Legacy 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
- Markov games as a framework for multi-agent reinforcement learning→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Self-improving reactive agents based on reinforcement learning, planning and teaching→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Markov games as a framework for multi-agent 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
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| Reinforcement Learning in Robotics | Computer Science |
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- supports2 author record(s) attached.
- weakensNo references are recorded despite 3,461 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
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- supportsA title is present.
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