Who Should I Trust?: Uncertainty and Risk for Knowledge Transfer from Multiple Sources in Reinforcement Learning Domains
M Gimelfarb - 2023 - search.proquest.com
Despite the recent success of reinforcement learning (RL) in simulated domains and
industrial applications, sample-efficiency remains a fundamental limitation of many model …
industrial applications, sample-efficiency remains a fundamental limitation of many model …
[引用][C] Differentiable Planning with Indefinite Horizon
[引用][C] Differentiable Planning for Optimal Liquidation
AA Pennacchio, LN de Barros, DD Mauá - Brazilian Workshop on Artificial …, 2022 - SBC