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

Efficient Model-Free Exploration in Low-Rank MDPs NIPS 2023

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NIPS 2023

Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023

Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NIPS 2023

Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023

Convergence rates for localized actor-critic in networked Markov potential games UAI 2023

Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023

Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023

Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NIPS 2023

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023

Non-stationary Reinforcement Learning under General Function Approximation ICML 2023

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation ICML 2023

Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023

Kernelized Reinforcement Learning with Order Optimal Regret Bounds NIPS 2023

Global Optimization with Parametric Function Approximation ICML 2023

On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023

What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023

Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023

On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness COLT 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023

Super-Resolution Neural Operator CVPR 2023

Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023