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cs.LG2023
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Alexander Meulemans, Simon Schug, Seijin Kobayashi +2
To make reinforcement learning more sample efficient, we need better credit assignment methods that measure an action's influence on future rewards. Building upon Hindsight Credit…
cs.LG2020★ 5 cited
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen +2
In recent years, meta-learning, in which a model is trained on a family of tasks (i.e. a task distribution), has emerged as an approach to training neural networks to perform tasks…