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Value Iteration

79 directly classified papers

Papers per year

Papers

Discerning Temporal Difference Learning AAAI 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Parameterized Projected Bellman Operator AAAI 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
TD Convergence: An Optimization Perspective NIPS 2023
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Optimistic Planning by Regularized Dynamic Programming ICML 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023
Toward Efficient Gradient-Based Value Estimation ICML 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023
Replicable Reinforcement Learning NIPS 2023
The Geometry of Robust Value Functions ICML 2022
Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022
Operator Splitting Value Iteration NIPS 2022
Preferential Temporal Difference Learning ICML 2021
PID Accelerated Value Iteration Algorithm ICML 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021
When to stop value iteration: stability and near-optimality versus computation L4DC 2021