function approximation

Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Quantum Non-Linear Bandit Optimization AAAI 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026 The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network COLT 2026 Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability COLT 2026 Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective JMLR 2026 Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 Deep Learning Alternatives Of The Kolmogorov Superposition Theorem ICLR 2025 Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025 Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025 Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025 Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning ICML 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Language Models Are Implicitly Continuous ICLR 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning AISTATS 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth ICLR 2025 Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025 Policy-Regret Minimization in Markov Games with Function Approximation ICML 2025 Revisiting a Design Choice in Gradient Temporal Difference Learning ICLR 2025 Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation L4DC 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025 Second Order Bounds for Contextual Bandits with Function Approximation ICLR 2025