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Reinforcement Learning
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Methods
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Deep RL
3,861 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
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
JMLR 2022
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
L4DC 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning
L4DC 2022
Experience Replay with Likelihood-free Importance Weights
L4DC 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
L4DC 2022
Reinforcement Learning with Almost Sure Constraints
L4DC 2022
Block Contextual MDPs for Continual Learning
L4DC 2022
Sample-based Distributional Policy Gradient
L4DC 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
L4DC 2022
Automatic planning of liver tumor thermal ablation using deep reinforcement learning
MIDL 2022
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning
MIDL 2022
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution
MLHC 2022
KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning
MLHC 2022
Interactive Query-Assisted Summarization via Deep Reinforcement Learning
NAACL 2022
SURF: Semantic-level Unsupervised Reward Function for Machine Translation
NAACL 2022
DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
NAACL 2022
Partner Personas Generation for Dialogue Response Generation
NAACL 2022
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System
NAACL 2022
A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning
NAACL 2022
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation
NAACL 2022
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning
NAACL 2022
A Sequence Modelling Approach to Question Answering in Text-Based Games
NAACL 2022
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
NAACL 2022
Causal Discovery and Reinforcement Learning: A Synergistic Integration
PGM 2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
RSS 2022
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