Record · corpus.blog/posts/01a11d3e-f8a0-7396-9a57-cfd0da89e337

Multi-Agent Reinforcement Learning – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 3 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 9 October 2026).

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at danmackinlay.name Wayback capture

0blogs citing

Citing blogs and links by period
Period	Blogs	Links
All time	0	0
Last 90 days	0	0
Last 30 days	0	0
Last 7 days	0	0

Figures for this page
Anchor phrases	0
External links	16
Words captured	527

Cited by

No blog we hold has cited this post yet.

Links from this post

Link

Host

https://doi.org/10.1016/j.artint.2020.103356 Who cites this page

doi.org

https://ti.arc.nasa.gov/m/profile/dhw/papers/7.pdf Who cites this page

ti.arc.nasa.gov

https://openreview.net/forum?id=QFO1asgas2 Who cites this page

openreview.net

https://doi.org/10.48550/arXiv.2007.09540 Who cites this page

doi.org

http://arxiv.org/abs/1709.04326 Who cites this page

arxiv.org

https://doi.org/10.1609/aaai.v32i1.11794 Who cites this page

doi.org

https://doi.org/10.1007/s10462-021-09996-w Who cites this page

doi.org

https://doi.org/10.1007/s10458-019-09421-1 Who cites this page

doi.org

https://openreview.net/forum?id=KHnSYIJmPc Who cites this page

openreview.net

https://doi.org/10.48550/arXiv.2504.07091 Who cites this page

doi.org

http://arxiv.org/abs/2106.03007 Who cites this page

arxiv.org

https://doi.org/10.1117/12.2585808 Who cites this page

doi.org

https://doi.org/10.48550/ARXIV.2512.00371 Who cites this page

doi.org

https://doi.org/10.24963/ijcai.2023/36 Who cites this page

doi.org

http://arxiv.org/abs/cs/9908014 Who cites this page

arxiv.org

http://arxiv.org/abs/1802.05438 Who cites this page

arxiv.org

Elsewhere on danmackinlay.name (3)

Algorithmic collective action Read at the source

danmackinlay.name

https://danmackinlay.name/notebook/opponent_shaping.html

danmackinlay.name

Game theory with open-source agents and simulation Read at the source

danmackinlay.name

Multi-Agent Reinforcement Learning – The Dan MacKinlay stable of variably-well-consider’d enterprises

Cited by

Links from this post

Similar posts