function approximation

Neural Network Architecture Beyond Width and Depth NeurIPS 2022 Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares COLT 2022 Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling COLT 2022 On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NeurIPS 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage ICLR 2022 Power and limitations of single-qubit native quantum neural networks NeurIPS 2022 Practical Conditional Neural Process Via Tractable Dependent Predictions ICLR 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems NeurIPS 2022 Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions ICLR 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 The Pitfalls of Regularization in Off-Policy TD Learning NeurIPS 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 Tighter Sparse Approximation Bounds for ReLU Neural Networks ICLR 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration NeurIPS 2022 Understanding the Eluder Dimension NeurIPS 2022 Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NeurIPS 2022 Width is Less Important than Depth in ReLU Neural Networks COLT 2022 Your Transformer May Not be as Powerful as You Expect NeurIPS 2022 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Average-Reward Off-Policy Policy Evaluation with Function Approximation ICML 2021