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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019
Unsupervised Controllable Text Formalization AAAI 2019
Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019
Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019
Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019
Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019
Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019
Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019
End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 2019
Multiagent Decision Making For Maritime Traffic Management AAAI 2019
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network ACL 2019
Distilling Policy Distillation AISTATS 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning AAAI 2019
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning IJCNLP 2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019