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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
Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
CVPR 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
CVPR 2022
Complex Video Action Reasoning via Learnable Markov Logic Network
CVPR 2022
PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision
CVPR 2022
Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
CVPR 2022
Symmetry-Aware Neural Architecture for Embodied Visual Exploration
CVPR 2022
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification
CVPR 2022
PLM-based World Models for Text-based Games
EMNLP 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
EMNLP 2022
Red Teaming Language Models with Language Models
EMNLP 2022
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning
EMNLP 2022
ScienceWorld: Is your Agent Smarter than a 5th Grader?
EMNLP 2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
EMNLP 2022
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering
EMNLP 2022
Guiding Abstractive Dialogue Summarization with Content Planning
EMNLP 2022
Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning
EMNLP 2022
A POMDP Dialogue Policy with 3-way Grounding and Adaptive Sensing for Learning through Communication
EMNLP 2022
Revisiting the Roles of “Text” in Text Games
EMNLP 2022
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
EMNLP 2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
EMNLP 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
ICML 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
ICML 2022
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
ICML 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
ICML 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
ICML 2022
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