function approximation

On the Model-Misspecification in Reinforcement Learning AISTATS 2024 On the Role of General Function Approximation in Offline Reinforcement Learning ICLR 2024 On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation ALT 2024 On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ICLR 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Provably Efficient CVaR RL in Low-rank MDPs ICLR 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Recurrent Reinforcement Learning with Memoroids NeurIPS 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity NeurIPS 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024 The Effective Horizon Explains Deep RL Performance in Stochastic Environments ICLR 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement NeurIPS 2023 Adversarial Cheap Talk ICML 2023