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neural function approximation

6 papers

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markov decision process (2) deep reinforcement learning (2) whittle indice (1) comparison queries (1) nonlinear reinforcement learning (1) conservative contextual bandit (1) inverse gap weighting (1) pg-rlhf (1) trajectory-level elliptical potential analysis (1) pessimism principle (1)

Papers

Conservative Contextual Bandits: Beyond Linear Representations ICLR 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024 Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023 VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation ICLR 2023 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021