OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
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I fully characterize the outcomes of a wide class of model-free reinforcement learning algorithms in a prisoner’s
dilemma. The behavior is studied in the limit as players explore their options sufficiently and eventually stop experimenting.
Whether the players learn to cooperate or defect can be determined in a closed form from the relationship between the learning rate and the payoffs of the game. The results generalize to asymmetric learners and many experimentation rules with implications for the issue of algorithmic collusion.
Zoom link: us02web.zoom.us/j/83496520603
18 January 2022, 12:00-12:45pm (Tuesday)
To sign up for a 30-minute meeting with the speaker, please add your name at this link: docs.google.com/spreadsheets/d/1Ux9g5nXtbFmqIA3DWZYUljZthkvRd-Qg/edit#gid=1190663177
