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Reinforcement Learning
2932 directly classified papers
Papers per year
2003: 1
2006: 11
2007: 18
2008: 23
2009: 14
2010: 22
2011: 24
2012: 34
2013: 26
2014: 24
2015: 14
2016: 23
2017: 79
2018: 182
2019: 255
2020: 284
2021: 333
2022: 319
2023: 315
2024: 457
2025: 419
2026: 55
Papers
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews
EMNLP 2019
Machine Translation for Machines: the Sentiment Classification Use Case
EMNLP 2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
EMNLP 2019
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
EMNLP 2019
Modeling Coherence for Discourse Neural Machine Translation
AAAI 2019
Learning to Generalize from Sparse and Underspecified Rewards
ICML 2019
Understanding the Impact of Entropy on Policy Optimization
ICML 2019
Projections for Approximate Policy Iteration Algorithms
ICML 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
ICML 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
ICML 2019
Learning Action Representations for Reinforcement Learning
ICML 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
ICML 2019
Information-Theoretic Considerations in Batch Reinforcement Learning
ICML 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
ICML 2019
Control Regularization for Reduced Variance Reinforcement Learning
ICML 2019
Policy Certificates: Towards Accountable Reinforcement Learning
ICML 2019
Dead-ends and Secure Exploration in Reinforcement Learning
ICML 2019
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
ICML 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
ICML 2019
Off-Policy Deep Reinforcement Learning without Exploration
ICML 2019
Combining parametric and nonparametric models for off-policy evaluation
ICML 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
ICML 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
ICML 2019
Per-Decision Option Discounting
ICML 2019
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
CVPR 2019
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