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Policy Gradient: Theory for Making Best Use of It
Mengdi Wang
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Mengdi Wang (Princeton University)
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2023 Poster: Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP »
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2023 Poster: Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories »
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2023 Poster: Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data »
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2023 Poster: STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning »
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2022 Poster: Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach »
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2022 Poster: Optimal Estimation of Policy Gradient via Double Fitted Iteration »
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2022 Poster: Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory »
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2022 Spotlight: Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach »
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2022 Spotlight: Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory »
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2022 Spotlight: Optimal Estimation of Policy Gradient via Double Fitted Iteration »
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2021 Poster: Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient »
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2021 Spotlight: Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient »
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2021 Poster: Bootstrapping Fitted Q-Evaluation for Off-Policy Inference »
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2021 Spotlight: Bootstrapping Fitted Q-Evaluation for Off-Policy Inference »
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2020 : QA for invited talk 7 Wang »
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2020 : Invited talk 7 Wang »
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2020 Workshop: Theoretical Foundations of Reinforcement Learning »
Emma Brunskill · Thodoris Lykouris · Max Simchowitz · Wen Sun · Mengdi Wang -
2020 Poster: Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound »
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2020 Poster: Model-Based Reinforcement Learning with Value-Targeted Regression »
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2020 Poster: Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation »
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2019 Poster: Sample-Optimal Parametric Q-Learning Using Linearly Additive Features »
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2019 Oral: Sample-Optimal Parametric Q-Learning Using Linearly Additive Features »
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2018 Poster: Estimation of Markov Chain via Rank-constrained Likelihood »
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2018 Oral: Estimation of Markov Chain via Rank-constrained Likelihood »
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2018 Poster: Scalable Bilinear Pi Learning Using State and Action Features »
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2018 Oral: Scalable Bilinear Pi Learning Using State and Action Features »
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2017 Poster: Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions »
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2017 Talk: Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions »
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