function approximation

On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NeurIPS 2021 Preferential Temporal Difference Learning ICML 2021 Provable Memorization via Deep Neural Networks using Sub-linear Parameters COLT 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021 Safe Policy Optimization with Local Generalized Linear Function Approximations NeurIPS 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NeurIPS 2021 Self-Consistent Models and Values NeurIPS 2021 Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy ICLR 2021 Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021 The Difficulty of Passive Learning in Deep Reinforcement Learning NeurIPS 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 The Sample Complexity of Level Set Approximation AISTATS 2021 Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NeurIPS 2021 You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CoRL 2021 A closer look at the approximation capabilities of neural networks ICLR 2020 Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity NeurIPS 2020 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NeurIPS 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020