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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
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
NIPS 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NIPS 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
NIPS 2021
Independence-aware Advantage Estimation
IJCAI 2021
Reinforcement Learning Under Moral Uncertainty
ICML 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes
ICML 2021
Accelerating Quadratic Optimization with Reinforcement Learning
NIPS 2021
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
ICML 2021
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
AAAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
AAAI 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination
ICML 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL
ICML 2021
Interactive Learning from Activity Description
ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting
ICML 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
CVPR 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021
Self-correcting Q-learning
AAAI 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
NIPS 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract)
AAAI 2021
Move2Hear: Active Audio-Visual Source Separation
ICCV 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
ICML 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
AISTATS 2021
Reinforcement Learning with Trajectory Feedback
AAAI 2021
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
EMNLP 2021
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