Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
Reinforcement Learning
1263 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 3
2009: 2
2010: 1
2011: 2
2012: 3
2013: 2
2014: 3
2015: 2
2016: 8
2017: 44
2018: 95
2019: 134
2020: 123
2021: 131
2022: 143
2023: 127
2024: 194
2025: 240
2026: 3
Papers
Stylized Text Generation: Approaches and Applications
ACL 2020
BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement
AAAI 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback
AAAI 2020
Learning Situational Driving
CVPR 2020
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
CVPR 2020
Visual Reaction: Learning to Play Catch With Your Drone
CVPR 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
CVPR 2020
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation
CVPR 2020
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning
CVPR 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
CVPR 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
CVPR 2020
Incorporating Stylistic Lexical Preferences in Generative Language Models
EMNLP 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020
Counterfactual Off-Policy Training for Neural Dialogue Generation
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
AAAI 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
AAAI 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks
AAAI 2020
Deep Conservative Policy Iteration
AAAI 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale
AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
AAAI 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning
AAAI 2020
<
1
…
34
35
36
…
51
>