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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
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
ICML 2022
Actor-Critic based Improper Reinforcement Learning
ICML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
ICML 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
ICML 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
ICML 2022
Dynamic Regret of Online Markov Decision Processes
ICML 2022
Efficient Learning for AlphaZero via Path Consistency
ICML 2022
Online Decision Transformer
ICML 2022
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs
IJCAI 2022
AttExplainer: Explain Transformer via Attention by Reinforcement Learning
IJCAI 2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
IJCAI 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
IJCAI 2022
Reinforcement Learning with Option Machines
IJCAI 2022
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
IJCAI 2022
Option Transfer and SMDP Abstraction with Successor Features
IJCAI 2022
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
IJCAI 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
IJCAI 2022
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
IJCAI 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
IJCAI 2022
Search-based Reinforcement Learning through Bandit Linear Optimization
IJCAI 2022
Dynamic Sparse Training for Deep Reinforcement Learning
IJCAI 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
IJCAI 2022
On the (In)Tractability of Reinforcement Learning for LTL Objectives
IJCAI 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
IJCAI 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
IJCAI 2022
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