linear function approximation

Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features JMLR 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics ICLR 2025 Fast Convergence of Softmax Policy Mirror Ascent AISTATS 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Linear Q-Learning Does Not Diverge in L^2: Convergence Rates to a Bounded Set ICML 2025 Offline RL via Feature-Occupancy Gradient Ascent AISTATS 2025 Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation AAAI 2024 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024