Reproducibility study on Performative Reinforcement Learning.
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Updated
Sep 12, 2024 - Python
Reproducibility study on Performative Reinforcement Learning.
Performativity in ML evaluation: benchmark lifecycles, proof-culture fragmentation, and the Simpson's paradox in peer review
"Comps-prep notes on classical poetics, Berkeley Classics 124, with comparative extensions into Ming/Qing Chinese literary commentary" Comparative poetics: Plato, Aristotle, Longinus & Sidney in dialogue with the Jin Ping Mei commentarial tradition and Butler's performativity framework
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