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Value Iteration

306 directly classified papers

Papers per year

Papers

A Differential Perspective on Distributional Reinforcement Learning AAAI 2026
Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026
Reinforcement Learning for Infinite-Dimensional Systems JMLR 2025
FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading ACL 2025
Reward-Directed Score-Based Diffusion Models via q-Learning JMLR 2025
Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025
Online Planning in MDPs with Stochastic Durative Actions IJCAI 2025
Steady-State Strategy Synthesis for Swarms of Autonomous Agents IJCAI 2025
Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games IJCAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens JMLR 2025
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
Low-rank MDPs with Continuous Action Spaces AISTATS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024
Goal-Space Planning with Subgoal Models JMLR 2024
Increasing information for model predictive control with semi-Markov decision processes L4DC 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024
Parameterized Projected Bellman Operator AAAI 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024