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Value Iteration

356 papers

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Papers

Planning with Expectation Models IJCAI 2019
Measuring Structural Similarities in Finite MDPs IJCAI 2019
CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019
Value Iteration Networks on Multiple Levels of Abstraction RSS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NIPS 2018
Temporal Regularization for Markov Decision Process NIPS 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NIPS 2018
Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018
Scalable Bilinear Pi Learning Using State and Action Features ICML 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018
Learning to search with MCTSnets ICML 2018
Open Loop Execution of Tree-Search Algorithms IJCAI 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018
Exploration by Distributional Reinforcement Learning IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018
Planning and Learning with Stochastic Action Sets IJCAI 2018
Computational Approaches for Stochastic Shortest Path on Succinct MDPs IJCAI 2018
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs IJCAI 2018
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018
Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes IJCAI 2018