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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
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
RSS 2020
Cable Manipulation with a Tactile-Reactive Gripper
RSS 2020
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
EMNLP 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
EMNLP 2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
EMNLP 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020
Human-centric dialog training via offline reinforcement learning
EMNLP 2020
Supervised Seeded Iterated Learning for Interactive Language Learning
EMNLP 2020
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
EMNLP 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
RSS 2020
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control
RSS 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
ICML 2020
Stochastically Dominant Distributional Reinforcement Learning
ICML 2020
Goal-Aware Prediction: Learning to Model What Matters
ICML 2020
Static and Dynamic Values of Computation in MCTS
UAI 2020
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
ICML 2020
Batch Reinforcement Learning with Hyperparameter Gradients
ICML 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
ICML 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
ICML 2020
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