Reinforcement Learning
"Reinforcement learning is learning what to do – how to map situations to actions – so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine learning, but instead must discover which actions yield the most reward by trying them."
– Sutton, Richard S. and Andrew G. Barto. Reinforcement Learning: An Introduction. (1.1). MIT Press, Cambridge, MA, 1998.
Maximum-Likelihood InverseReinforcementLearning withFinite-TimeGuarantees
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Inverse reinforcement learning (IRL) aims to recover the reward function and the associated optimal policy that best fits observed sequences of states and actions implemented byanexpert.
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Blockwise Parallel Transformers for Large Context Models
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Model sizes range from 1B to 70B.
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178022c409938a9d634b88ce924c4b14-Paper-Conference.pdf
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In economics, Return on Investment (ROI) is a financial metric used to evaluate the profitability of an investment relative to its cost. The concept of ROI originates from the work of [5] and is widelyregardedasavaluable metricbythemajority ofmarketingmanagers [4].
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