125 citations · 148 across the 19 of their papers we have counts for
3 papers · 1 filter
Query-Reward Tradeoffs in Multi-Armed Bandits
Nadav Merlis, Yonathan Efroni, Shie Mannor
We consider a stochastic multi-armed bandit setting where reward must be actively queried for it to be observed. We provide tight lower and upper problem-dependent guarantees on bo…
Ensemble Bootstrapping for Q-Learning
Oren Peer, Chen Tessler, Nadav Merlis +1
Q-learning (QL), a common reinforcement learning algorithm, suffers from over-estimation bias due to the maximization term in the optimal Bellman operator. This bias may lead to su…
Confidence-Budget Matching for Sequential Budgeted Learning
Yonathan Efroni, Nadav Merlis, Aadirupa Saha +1
A core element in decision-making under uncertainty is the feedback on the quality of the performed actions. However, in many applications, such feedback is restricted. For example…