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Value Iteration

356 papers

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Papers

Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes AAAI 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation AAAI 2022
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation AAAI 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022
Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) AAAI 2022
Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning ACML 2022
Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps CVPR 2022
Towards Real-World Navigation With Deep Differentiable Planners CVPR 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer ICML 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022
Distributionally Robust $Q$-Learning ICML 2022
Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022
Generalised Policy Improvement with Geometric Policy Composition ICML 2022
The Geometry of Robust Value Functions ICML 2022
Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments IJCAI 2022
Value Refinement Network (VRN) IJCAI 2022
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022