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09/30/2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
While standard bandit algorithms sometimes incur high regret, their perf...
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07/13/2022
Hindsight Learning for MDPs with Exogenous Inputs
We develop a reinforcement learning (RL) framework for applications that...
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10/29/2021
Adaptive Discretization in Online Reinforcement Learning
Discretization based approaches to solving online reinforcement learning...
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05/11/2021
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
We consider the problem of dividing limited resources to individuals arr...
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11/29/2020
Sequential Fair Allocation of Limited Resources under Stochastic Demands
We consider the problem of dividing limited resources between a set of a...
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07/01/2020
Adaptive Discretization for Model-Based Reinforcement Learning
We introduce the technique of adaptive discretization to design efficien...
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10/17/2019