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Reinforcement Learning
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Value Iteration
306 directly classified papers
Papers per year
2002: 3
2005: 3
2007: 1
2008: 1
2009: 2
2010: 1
2011: 1
2012: 5
2013: 4
2014: 3
2015: 7
2016: 10
2017: 9
2018: 20
2019: 33
2020: 47
2021: 39
2022: 37
2023: 42
2024: 23
2025: 13
2026: 2
Papers
Transfer Value Iteration Networks
AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale
AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
How to Combine Tree-Search Methods in Reinforcement Learning
AAAI 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
Planning with Expectation Models
IJCAI 2019
Measuring Structural Similarities in Finite MDPs
IJCAI 2019
CRSRL: Customer Routing System Using Reinforcement Learning
IJCAI 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
Value Iteration Networks on Multiple Levels of Abstraction
RSS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
RSS 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
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
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
Mapping State Space using Landmarks for Universal Goal Reaching
NIPS 2019
Scale-free adaptive planning for deterministic dynamics & discounted rewards
ICML 2019
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
AAAI 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References
EMNLP 2019
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