23 citations · 78 across the 10 of their papers we have counts for
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cs.LG2021★ 6 cited
Twice regularized MDPs and the equivalence between robustness and regularization
Esther Derman, Matthieu Geist, Shie Mannor
Robust Markov decision processes (MDPs) aim to handle changing or partially known system dynamics. To solve them, one typically resorts to robust optimization methods. However, thi…
cs.LG2021★ 4 cited
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman, Gal Dalal, Shie Mannor
The standard Markov Decision Process (MDP) formulation hinges on the assumption that an action is executed immediately after it was chosen. However, assuming it is often unrealisti…