function approximation

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023 Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP AAAI 2023 PAC Reinforcement Learning for Predictive State Representations ICLR 2023 Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NeurIPS 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NeurIPS 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Quasi-Equivalence between Width and Depth of Neural Networks JMLR 2023 Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023 Representation Learning for Low-rank General-sum Markov Games ICLR 2023 Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation ICLR 2023 Sample Complexity of Kernel-Based Q-Learning AISTATS 2023 Structure of universal formulas NeurIPS 2023 Super-Resolution Neural Operator CVPR 2023 Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023 Versatile Neural Processes for Learning Implicit Neural Representations ICLR 2023 VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023 What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 A Boosting Approach to Reinforcement Learning NeurIPS 2022