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Value Iteration

356 papers

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Papers

Planning in entropy-regularized Markov decision processes and games NIPS 2019
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NIPS 2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NIPS 2019
Sampling Networks and Aggregate Simulation for Online POMDP Planning NIPS 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NIPS 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019
An Entity-Driven Framework for Abstractive Summarization EMNLP 2019
Scale-free adaptive planning for deterministic dynamics & discounted rewards ICML 2019
The Value Function Polytope in Reinforcement Learning ICML 2019
Separating value functions across time-scales ICML 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning ICML 2019
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes IJCAI 2019
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019
Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019