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Methodology
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Reinforcement Learning
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Methods
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Deep RL
3861 directly classified 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
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
NIPS 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
NIPS 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
NIPS 2023
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
NIPS 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
NIPS 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
NIPS 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations
NIPS 2023
Offline Quantum Reinforcement Learning in a Conservative Manner
AAAI 2023
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective
AAAI 2023
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
AAAI 2023
Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards
AAAI 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
Off-Policy Proximal Policy Optimization
AAAI 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
AAAI 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
AAAI 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
AAAI 2023
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
AAAI 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
AAAI 2023
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees
AAAI 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies
AAAI 2023
Low Emission Building Control with Zero-Shot Reinforcement Learning
AAAI 2023
Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims
AAAI 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
AAAI 2023
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning
EMNLP 2023
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