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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Self-Critical Sequence Training for Image Captioning CVPR 2017
On-line Dialogue Policy Learning with Companion Teaching EACL 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017
Constrained Policy Optimization ICML 2017
An Alternative Softmax Operator for Reinforcement Learning ICML 2017
End-to-End Differentiable Adversarial Imitation Learning ICML 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017
Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017
Fairness in Reinforcement Learning ICML 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Hierarchy Through Composition with Multitask LMDPs ICML 2017
World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017
FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017
Latent Intention Dialogue Models ICML 2017
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017
Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017
Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017
Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017
Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017
Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017