← Methods
Reinforcement Learning › Methods ›

Policy Learning

2068 directly classified papers

Papers per year

Papers

Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019
Learning to Ask for Conversational Machine Learning EMNLP 2019
ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019
Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019
Generating Classical Chinese Poems from Vernacular Chinese EMNLP 2019
Unified Policy Optimization for Robust Reinforcement Learning ACML 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning IJCNLP 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References IJCNLP 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning IJCNLP 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models NAACL 2019
Better, Faster, Stronger Sequence Tagging Constituent Parsers NAACL 2019
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019
Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019
Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019