Reinforcement Learning

Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019 Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019 Learning Resource Allocation and Pricing for Cloud Profit Maximization AAAI 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning Reward Machines for Partially Observable Reinforcement Learning NeurIPS 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Learning Self-Imitating Diverse Policies ICLR 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning EMNLP 2019 Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning ICLR 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Collaborate in Markov Decision Processes ICML 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Design RNA ICLR 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight CoRL 2019 Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Learning to Paint With Model-Based Deep Reinforcement Learning ICCV 2019 Learning to Perform Local Rewriting for Combinatorial Optimization NeurIPS 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to request guidance in emergent language EMNLP 2019 Learning to Schedule Communication in Multi-agent Reinforcement Learning ICLR 2019