function approximator

Probabilistic Neural Circuits AAAI 2024 Convergence of Actor-Critic with Multi-Layer Neural Networks NeurIPS 2023 Learning Locomotion Skills from MPC in Sensor Space L4DC 2023 Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient ICLR 2023 Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022 Batch Value-function Approximation with Only Realizability ICML 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021 Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings MLHC 2021 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA UAI 2019 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007 Evolutionary Function Approximation for Reinforcement Learning JMLR 2006