function approximation

Universal Approximation with Deep Narrow Networks COLT 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality ICLR 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 Attentive Neural Processes ICLR 2019 Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019 Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019 Divergence-Augmented Policy Optimization NeurIPS 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning ICML 2019 How do infinite width bounded norm networks look in function space? COLT 2019 Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019 Learning nonlinear level sets for dimensionality reduction in function approximation NeurIPS 2019 Learning Options with Interest Functions AAAI 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 On the equivalence between graph isomorphism testing and function approximation with GNNs NeurIPS 2019 POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Random Projection in Neural Episodic Control ACML 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019