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Found 2 papers, 1 papers with code
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections
Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents with mediated equilibria.
The Partially Observable History Process
We introduce the partially observable history process (POHP) formalism for reinforcement learning.
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