Markov games as a framework for multi-agent reinforcement learning
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Citation edge evidence
- Mastering the game of Go with deep neural networks and tree search→Markov games as a framework for multi-agent reinforcement learningLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Markov games as a framework for multi-agent reinforcement learningLegacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Markov games as a framework for multi-agent reinforcement learningLegacy edge — source detail unavailable
- A Comprehensive Survey of Multiagent Reinforcement Learning→Markov games as a framework for multi-agent reinforcement learningLegacy edge — source detail unavailable
- Markov games as a framework for multi-agent reinforcement learning→Q-learningLegacy edge — source detail unavailable
- Markov games as a framework for multi-agent reinforcement learning→Some Studies in Machine Learning Using the Game of CheckersLegacy edge — source detail unavailable
- Markov games as a framework for multi-agent reinforcement learning→Technical Note: Q-LearningLegacy edge — source detail unavailable
- Markov games as a framework for multi-agent reinforcement learning→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Markov games as a framework for multi-agent reinforcement learning→Multi-Agent Reinforcement Learning: Independent vs. Cooperative AgentsLegacy edge — source detail unavailable
- Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents→Technical Note: Q-LearningLegacy edge — source detail unavailable
- A Comprehensive Survey of Multiagent Reinforcement Learning→Technical Note: Q-LearningLegacy edge — source detail unavailable
- A Comprehensive Survey of Multiagent Reinforcement Learning→Multi-Agent Reinforcement Learning: Independent vs. Cooperative AgentsLegacy edge — source detail unavailable
- A Comprehensive Survey of Multiagent Reinforcement Learning→Reinforcement Learning: A SurveyLegacy edge — source detail unavailable
- A Comprehensive Survey of Multiagent Reinforcement Learning→Q-learningLegacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Dynamic Programming and Markov Processes.Legacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Some Studies in Machine Learning Using the Game of CheckersLegacy edge — source detail unavailable
- Reinforcement Learning: A Survey→Q-learningLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Q-learning | 1992 | 9,099 |
| Some Studies in Machine Learning Using the Game of Checkers | 1959 | 4,416 |
| Technical Note: Q-Learning | 1992 | 3,773 |
| Dynamic Programming and Markov Processes. | 1961 | 3,461 |
| Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents | 1993 | 1,857 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Mastering the game of Go with deep neural networks and tree search | 2016 | 16,014 |
| Mastering the game of Go without human knowledge | 2017 | 9,313 |
| Reinforcement Learning: A Survey | 1996 | 8,953 |
| A Comprehensive Survey of Multiagent Reinforcement Learning | 2008 | 2,256 |
Links
Topics
| Reinforcement Learning in Robotics | Computer Science |
| Game Theory and Applications | Decision Sciences |
| Artificial Intelligence in Games | Computer Science |
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Provenance
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