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2102.04939
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RL for Latent MDPs: Regret Guarantees and a Lower Bound
Neural Information Processing Systems (NeurIPS), 2021
9 February 2021
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
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Papers citing
"RL for Latent MDPs: Regret Guarantees and a Lower Bound"
50 / 64 papers shown
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Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty
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328
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Prospective Side Information for Latent MDPs
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386
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316
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JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
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Junxiong Wang
Yueying Li
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Immanuel Trummer
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Minshuo Chen
Haiquan Wang
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302
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Yitao Liang
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Context-lumpable stochastic bandits
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Qinghua Liu
Yasin Abbasi-Yadkori
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Tor Lattimore
Csaba Szepesvári
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385
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Wei Xiong
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Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
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286
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Guy Tennenholtz
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297
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Alekh Agarwal
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374
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Adversarial Online Multi-Task Reinforcement Learning
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211
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An Instrumental Variable Approach to Confounded Off-Policy Evaluation
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365
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Offline Policy Evaluation and Optimization under Confounding
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Maggie Makar
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431
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Learning Mixtures of Markov Chains and MDPs
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Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
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Tractable Optimality in Episodic Latent MABs
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