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Methodology
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Reinforcement Learning
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Methods
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Deep RL
3861 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
An Entity-Driven Framework for Abstractive Summarization
EMNLP 2019
Random Projection in Neural Episodic Control
ACML 2019
Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning
ACML 2019
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs
ACML 2019
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
ACML 2019
Unified Policy Optimization for Robust Reinforcement Learning
ACML 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
EMNLP 2019
Machine Translation for Machines: the Sentiment Classification Use Case
EMNLP 2019
Learning Dynamic Context Augmentation for Global Entity Linking
EMNLP 2019
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
AAAI 2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems
ACL 2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
CORL 2019
Curious iLQR: Resolving Uncertainty in Model-based RL
CORL 2019
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
AAAI 2019
Model Learning for Look-Ahead Exploration in Continuous Control
AAAI 2019
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
AAAI 2019
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
NAACL 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
AAAI 2019
Hybrid Reinforcement Learning with Expert State Sequences
AAAI 2019
Multi-Task Deep Reinforcement Learning with PopArt
AAAI 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
AAAI 2019
Classification with Costly Features Using Deep Reinforcement Learning
AAAI 2019
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
AAAI 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
AAAI 2019
Natural Option Critic
AAAI 2019
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