Reinforcement Learning

Intention-Aware Motion Planning Using Learning Based Human Motion Prediction RSS 2017 Interactive Learning from Policy-Dependent Human Feedback ICML 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NeurIPS 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Learning Robotic Manipulation of Granular Media CoRL 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning to Translate in Real-time with Neural Machine Translation EACL 2017 Learning what to read: Focused machine reading EMNLP 2017 Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 MUSE: Modularizing Unsupervised Sense Embeddings EMNLP 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Neural Episodic Control ICML 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 On-line Dialogue Policy Learning with Companion Teaching EACL 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017