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function approximation

319 papers

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Co-occurring keywords

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

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024
Learning Social Welfare Functions NIPS 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Function Based Sim-to-Real Learning for Shape Control of Deformable Free-form Surfaces RSS 2024
Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024
Adaptive Order Q-learning IJCAI 2024
How Does Variance Shape the Regret in Contextual Bandits? NIPS 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NIPS 2024
Recurrent Reinforcement Learning with Memoroids NIPS 2024
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023
Super-Resolution Neural Operator CVPR 2023
Harmonic Neural Networks ICML 2023