linear function approximation

Regularized Q-Learning NeurIPS 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 Backstepping Temporal Difference Learning ICLR 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? JMLR 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization ALT 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023 Finite-sample guarantees for Nash Q-learning with linear function approximation UAI 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Linear Reinforcement Learning with Ball Structure Action Space ALT 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023 Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023 Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation ICLR 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023