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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 Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NIPS 2023
Harmonic Neural Networks ICML 2023
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Experiment Planning with Function Approximation NIPS 2023
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore NIPS 2023
Limitations on approximation by deep and shallow neural networks JMLR 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023
Power and limitations of single-qubit native quantum neural networks NIPS 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons JMLR 2022
Understanding the Eluder Dimension NIPS 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022
Neural Estimation of Statistical Divergences JMLR 2022
Width is Less Important than Depth in ReLU Neural Networks COLT 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022
Active Nearest Neighbor Regression Through Delaunay Refinement ICML 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022
Branching Reinforcement Learning ICML 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022