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Methodology
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Reinforcement Learning
2932 directly classified 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
Generalization to New Actions in Reinforcement Learning
ICML 2020
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
ICML 2020
Information Theoretic Model Predictive Q-Learning
L4DC 2020
A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes
L4DC 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation
L4DC 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020
Safe non-smooth black-box optimization with application to policy search
L4DC 2020
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms
EMNLP 2020
Syntactic and Semantic-driven Learning for Open Information Extraction
EMNLP 2020
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning
AACL 2020
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
EMNLP 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
EMNLP 2020
CapWAP: Image Captioning with a Purpose
EMNLP 2020
Statistically Efficient Off-Policy Policy Gradients
ICML 2020
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
ICML 2020
Bidirectional Model-based Policy Optimization
ICML 2020
Learning Task-Driven Control Policies via Information Bottlenecks
RSS 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty
RSS 2020
Learning to Manipulate Deformable Objects without Demonstrations
RSS 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
RSS 2020
Deep Drone Acrobatics
RSS 2020
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