Value Iteration

Universal Approximation Theorem of Deep Q-Networks ICML 2025 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NeurIPS 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Adaptive Exploration for Data-Efficient General Value Function Evaluations NeurIPS 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 Discerning Temporal Difference Learning AAAI 2024 Distributional Bellman Operators over Mean Embeddings ICML 2024 Efficient Constraint Generation for Stochastic Shortest Path Problems AAAI 2024 Efficient Value Iteration for s-rectangular Robust Markov Decision Processes ICML 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Goal-Space Planning with Subgoal Models JMLR 2024 Highway Value Iteration Networks ICML 2024 Increasing information for model predictive control with semi-Markov decision processes L4DC 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning ACL 2024 Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024 Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration L4DC 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 Maximum Entropy Model Correction in Reinforcement Learning ICLR 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024