Reinforcement Learning › Methods ›

Policy Learning

2068 directly classified papers

Papers per year

Papers

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017

Enabling Robots to Communicate Their Objectives RSS 2017

Latent Intention Dialogue Models ICML 2017

FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017

World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017

Hierarchy Through Composition with Multitask LMDPs ICML 2017

Learning in POMDPs with Monte Carlo Tree Search ICML 2017

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017

Fairness in Reinforcement Learning ICML 2017

Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017

Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017

End-to-End Differentiable Adversarial Imitation Learning ICML 2017

An Alternative Softmax Operator for Reinforcement Learning ICML 2017

Constrained Policy Optimization ICML 2017

Reverse Curriculum Generation for Reinforcement Learning CORL 2017

Learning Robot Objectives from Physical Human Interaction CORL 2017

Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017

Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017

Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017

Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017

Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming 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