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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
Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
IJCAI 2022
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control
IJCAI 2022
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
IJCAI 2022
Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems
IJCAI 2022
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
IJCAI 2022
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks
IJCAI 2022
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
IJCAI 2022
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)
IJCAI 2022
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract)
IJCAI 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
IJCAI 2022
Abstraction for Deep Reinforcement Learning
IJCAI 2022
Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes
IJCAI 2022
Application of Neurosymbolic AI to Sequential Decision Making
IJCAI 2022
Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks
IJCAI 2022
VMAgent: A Practical Virtual Machine Scheduling Platform
IJCAI 2022
AVAST: Attentive Variational State Tracker in a Reinforced Navigator
IJCNLP 2022
Controllable Text Simplification with Deep Reinforcement Learning
IJCNLP 2022
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models
JMLR 2022
Behavior Priors for Efficient Reinforcement Learning
JMLR 2022
Tianshou: A Highly Modularized Deep Reinforcement Learning Library
JMLR 2022
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
JMLR 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
JMLR 2022
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks
JMLR 2022
d3rlpy: An Offline Deep Reinforcement Learning Library
JMLR 2022
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
JMLR 2022
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