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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
On the Convergence of SARSA with Linear Function Approximation
ICML 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
ICML 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
ICML 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
ICML 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons
ICML 2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
IJCAI 2023
Tuning Computer Vision Models With Task Rewards
ICML 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
AAAI 2023
Competition, Alignment, and Equilibria in Digital Marketplaces
AAAI 2023
Safe Interval Path Planning with Kinodynamic Constraints
AAAI 2023
HuCurl: Human-induced Curriculum Discovery
ACL 2023
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search
ACL 2023
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
ACL 2023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback
ACL 2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
ACL 2023
Discovering Language Model Behaviors with Model-Written Evaluations
ACL 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
ACL 2023
Query Rewriting in Retrieval-Augmented Large Language Models
EMNLP 2023
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
EMNLP 2023
Uniformly Conservative Exploration in Reinforcement Learning
AISTATS 2023
Reinforcement Learning with Stepwise Fairness Constraints
AISTATS 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
AISTATS 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
AISTATS 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
EMNLP 2023
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