value function approximation

Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 A Family of Robust Stochastic Operators for Reinforcement Learning NeurIPS 2019 Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing AAAI 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NeurIPS 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019 Revisiting the Softmax Bellman Operator: New Benefits and New Perspective ICML 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Towards Better Interpretability in Deep Q-Networks AAAI 2019 Two-Timescale Networks for Nonlinear Value Function Approximation ICLR 2019 Unsupervised Basis Function Adaptation for Reinforcement Learning JMLR 2019 Addressing Function Approximation Error in Actor-Critic Methods ICML 2018 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NeurIPS 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016