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Value Iteration

79 directly classified papers

Papers per year

Papers

Preferential Temporal Difference Learning ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NIPS 2021
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020
Transfer Value Iteration Networks AAAI 2020
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NIPS 2019
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NIPS 2019
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018
Open Loop Execution of Tree-Search Algorithms IJCAI 2018
Boosted Fitted Q-Iteration ICML 2017
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Basis refinement strategies for linear value function approximation in MDPs NIPS 2015
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014