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Policy Learning

2068 directly classified papers

Papers per year

Papers

Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019
Natural Option Critic AAAI 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Multiagent Decision Making For Maritime Traffic Management AAAI 2019
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019
Imitation Learning from Observation AAAI 2019
Learning Options with Interest Functions AAAI 2019
Logic-Based Sequential Decision-Making AAAI 2019
Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews EMNLP 2019
Reading Like HER: Human Reading Inspired Extractive Summarization EMNLP 2019
To Follow or not to Follow: Selective Imitation Learning from Observations CORL 2019
On-Policy Robot Imitation Learning from a Converging Supervisor CORL 2019
Quasi-Newton Trust Region Policy Optimization CORL 2019
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning CORL 2019
Model-based Behavioral Cloning with Future Image Similarity Learning CORL 2019
Worst Cases Policy Gradients CORL 2019
Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019
The Termination Critic AISTATS 2019
Optimizing over a Restricted Policy Class in MDPs AISTATS 2019
Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019
Accelerating Imitation Learning with Predictive Models AISTATS 2019
Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog EMNLP 2019