function approximation

Harmonic Neural Networks ICML 2023 Hybrid RL: Using both offline and online data can make RL efficient ICLR 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 Kernelized Reinforcement Learning with Order Optimal Regret Bounds NeurIPS 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Limitations on approximation by deep and shallow neural networks JMLR 2023 Loosely consistent emphatic temporal-difference learning UAI 2023 Loss Dynamics of Temporal Difference Reinforcement Learning NeurIPS 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023 Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness COLT 2023 Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation ICML 2023 Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation AAAI 2023 Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NeurIPS 2023 Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023 Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Offline Learning in Markov Games with General Function Approximation ICML 2023 Online RL in Linearly q^π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore NeurIPS 2023 On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NeurIPS 2023 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023 On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023 On the Performance of Temporal Difference Learning With Neural Networks ICLR 2023 Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces JMLR 2023