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function approximation

319 papers

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reinforcement learning (4122) regret bound (1918) markov decision process (788) sample complexity (1158) neural network (6616) temporal difference learning (149) value function (294) offline reinforcement learning (492) deep reinforcement learning (903) value iteration (162)

Papers

The Sample Complexity of Level Set Approximation AISTATS 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021
Emphatic Algorithms for Deep Reinforcement Learning ICML 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
Is Pessimism Provably Efficient for Offline RL? ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation ICML 2021
Breaking the Deadly Triad with a Target Network ICML 2021
Deep Radial-Basis Value Functions for Continuous Control AAAI 2021
Elementary superexpressive activations ICML 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021
Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks ICML 2021
Preferential Temporal Difference Learning ICML 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Crystallization Learning with the Delaunay Triangulation ICML 2021
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CORL 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021
Finite-time theory for momentum Q-learning UAI 2021
Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021
On Convergence of Gradient Expected Sarsa(λ) AAAI 2021