# A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-game-theoretic-model-and-best-response-learning-method-for-ad-hoc-coordination/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefano V. Albrecht,Subramanian Ramamoorthy |
| Citations | 72 |
| DOI | 10.5555/2484920.2485118 |
| Fields | Computer Science,Decision Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1506.01170 |
| OpenAlex ID | https://openalex.org/W1605268984 |
| Type | preprint |
| Year | 2013 |

## Paper authors

- [Subramanian Ramamoorthy](https://scholariq.org/researchers/subramanian-ramamoorthy/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)

## Paper topics

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Game Theory and Applications](https://scholariq.org/topics/game-theory-and-applications/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.