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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
Master-Slave Curriculum Design for Reinforcement Learning
IJCAI 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
IJCAI 2018
StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization
IJCAI 2018
Autonomous Thermalling as a Partially Observable Markov Decision Process
RSS 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
RSS 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
RSS 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
RSS 2018
Asymmetric Actor Critic for Image-Based Robot Learning
RSS 2018
Shared Autonomy via Deep Reinforcement Learning
RSS 2018
Embodied Question Answering
CVPR 2018
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach
IJCAI 2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
CORL 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning
IJCAI 2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
CORL 2018
Feudal Reinforcement Learning for Dialogue Management in Large Domains
NAACL 2018
Multi-Reward Reinforced Summarization with Saliency and Entailment
NAACL 2018
Mining Evidences for Concept Stock Recommendation
NAACL 2018
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
NAACL 2018
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation
CVPR 2018
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
COLING 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
ICML 2018
Fourier Policy Gradients
ICML 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
CVPR 2018
Non-delusional Q-learning and value-iteration
NIPS 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
NIPS 2018
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