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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

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023
Constrained Monotonic Neural Networks ICML 2023
Harmonic Neural Networks ICML 2023
Adversarial Cheap Talk ICML 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023
Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games AAAI 2023
Offline Learning in Markov Games with General Function Approximation ICML 2023
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation ICML 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Global Optimization with Parametric Function Approximation ICML 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Non-stationary Reinforcement Learning under General Function Approximation ICML 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023
CT-DQN: Control-Tutored Deep Reinforcement Learning L4DC 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023