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← Methods
Reinforcement Learning
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Methods
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Deep RL
3,861 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
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
CORL 2021
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
COLT 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
NIPS 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph
CVPR 2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
AAAI 2021
BooVI: Provably Efficient Bootstrapped Value Iteration
NIPS 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021
Robustly Learning Composable Options in Deep Reinforcement Learning
IJCAI 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
CVPR 2021
Specializing Versatile Skill Libraries using Local Mixture of Experts
CORL 2021
Mean Field Games Flock! The Reinforcement Learning Way
IJCAI 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
EMNLP 2021
Reinforcement learning for optimization of variational quantum circuit architectures
NIPS 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
ICML 2021
Smooth Exploration for Robotic Reinforcement Learning
CORL 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
EACL 2021
Inverse Reinforcement Learning with Natural Language Goals
AAAI 2021
Learning to Switch Optimizers for Quadratic Programming
ACML 2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
EMNLP 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
ICML 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
CORL 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
AISTATS 2021
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
ALT 2021
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