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94 Results
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Oral
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Wed 19:00 |
Improved Regret Bound and Experience Replay in Regularized Policy Iteration Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari |
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Poster
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Thu 9:00 |
First-Order Methods for Wasserstein Distributionally Robust MDP Julien Grand-Clement · Christian Kroer |
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Spotlight
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Wed 19:30 |
Provably Correct Optimization and Exploration with Non-linear Policies Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang |
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Poster
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Wed 21:00 |
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation Jiafan He · Dongruo Zhou · Quanquan Gu |
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Poster
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Wed 9:00 |
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang |
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Spotlight
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Wed 18:30 |
Randomized Exploration in Reinforcement Learning with General Value Function Approximation Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang |
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Poster
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Wed 9:00 |
Kernel-Based Reinforcement Learning: A Finite-Time Analysis Omar Darwiche Domingues · Pierre Menard · Matteo Pirotta · Emilie Kaufmann · Michal Valko |
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Poster
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Wed 21:00 |
Fast active learning for pure exploration in reinforcement learning Pierre Menard · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko |
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Spotlight
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Wed 17:30 |
Near-Optimal Representation Learning for Linear Bandits and Linear RL Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang |
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Spotlight
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Tue 7:45 |
Improved Denoising Diffusion Probabilistic Models Alexander Nichol · Prafulla Dhariwal |
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Poster
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Wed 9:00 |
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret Asaf Cassel · Tomer Koren |
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Oral
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Wed 17:00 |
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL Andrea Zanette |