function approximation

Active Nearest Neighbor Regression Through Delaunay Refinement ICML 2022 A Mean-Field Game Approach to Cloud Resource Management with Function Approximation NeurIPS 2022 Approximate Value Equivalence NeurIPS 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 Bellman Residual Orthogonalization for Offline Reinforcement Learning NeurIPS 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022 Branching Reinforcement Learning ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Contrastive Conditional Neural Processes CVPR 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons JMLR 2022 Deep symbolic regression for recurrence prediction ICML 2022 End-to-end Symbolic Regression with Transformers NeurIPS 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NeurIPS 2022 Global Optimization Networks ICML 2022 Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022 Handling Hard Affine SDP Shape Constraints in RKHSs JMLR 2022 Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design NeurIPS 2022 Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness ICLR 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022 Neural Estimation of Statistical Divergences JMLR 2022