Agent Systems

Learning Linear-Quadratic Regulators Efficiently with only √T Regret ICML 2019 Learning Options with Interest Functions AAAI 2019 Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids ICLR 2019 Learning Personalized End-to-End Goal-Oriented Dialog AAAI 2019 Learning Programmatically Structured Representations with Perceptor Gradients ICLR 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity NeurIPS 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 Navigate the Web ICLR 2019 Learning to request guidance in emergent language EMNLP 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 Lifelong Optimization with Low Regret AISTATS 2019 Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning UAI 2019 Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Making History Matter: History-Advantage Sequence Training for Visual Dialog ICCV 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019 Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances ACL 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Modeling Multi-Action Policy for Task-Oriented Dialogues EMNLP 2019