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Value Iteration

356 papers

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Papers

Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach JMLR 2022
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022
Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022
Learning Space Partitions for Path Planning NIPS 2021
Self-Consistent Models and Values NIPS 2021
Temporally Abstract Partial Models NIPS 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NIPS 2021
BooVI: Provably Efficient Bootstrapped Value Iteration NIPS 2021
Proper Value Equivalence NIPS 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021
Neural Algorithmic Reasoners are Implicit Planners NIPS 2021
No-Press Diplomacy from Scratch NIPS 2021
Monte Carlo Tree Search With Iteratively Refining State Abstractions NIPS 2021
Average-Reward Learning and Planning with Options NIPS 2021
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Universal Off-Policy Evaluation NIPS 2021
Minimax Regret for Stochastic Shortest Path NIPS 2021
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning CORL 2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding AAAI 2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021
A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021
Transfer Learning for Efficient Iterative Safety Validation AAAI 2021
Loop Estimator for Discounted Values in Markov Reward Processes AAAI 2021