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Reinforcement Learning
2,932 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
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
ICML 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
NIPS 2022
Reward-Weighted Regression Converges to a Global Optimum
AAAI 2022
Reinforced Question Rewriting for Conversational Question Answering
EMNLP 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
NIPS 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NIPS 2022
Aligning to Social Norms and Values in Interactive Narratives
NAACL 2022
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
EMNLP 2022
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
COLING 2022
Robust Policy Learning over Multiple Uncertainty Sets
ICML 2022
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
ICML 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
ICML 2022
How to Reduce Action Space for Planning Domains? (Student Abstract)
AAAI 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
NIPS 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
Regularized Policies are Reward Robust
AISTATS 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
AAAI 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
ICML 2021
Reinforced History Backtracking for Conversational Question Answering
AAAI 2021
Safe Reinforcement Learning via Statistical Model Predictive Shielding
RSS 2021
Video Summarization via Label Distributions Dual-Reward
IJCAI 2021
Inverse Reinforcement Learning with Explicit Policy Estimates
AAAI 2021
Emergent Social Learning via Multi-agent Reinforcement Learning
ICML 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
ICML 2021
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