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Reinforcement Learning
2932 directly classified papers
Papers per year
2003: 1
2006: 11
2007: 18
2008: 23
2009: 14
2010: 22
2011: 24
2012: 34
2013: 26
2014: 24
2015: 14
2016: 23
2017: 79
2018: 182
2019: 255
2020: 284
2021: 333
2022: 319
2023: 315
2024: 457
2025: 419
2026: 55
Papers
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
NIPS 2023
Extracting Reward Functions from Diffusion Models
NIPS 2023
S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction
ICCV 2023
Neuro-Symbolic Class Expression Learning
IJCAI 2023
Adversarial Learning of Distributional Reinforcement Learning
ICML 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
On the Effectiveness of Offline RL for Dialogue Response Generation
ICML 2023
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs
ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
ICML 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
ICML 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
ICML 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
ICML 2023
Towards Understanding and Improving GFlowNet Training
ICML 2023
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
ICML 2023
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
ICML 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
ICML 2023
Learning Control-Oriented Dynamical Structure from Data
ICML 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
ICML 2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
ICML 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning
ICML 2023
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
ICML 2023
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators
ICML 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
ICML 2023
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