Agent Systems

Learning to Act Properly: Predicting and Explaining Affordances From Images CVPR 2018 Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information ACL 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Play With Intrinsically-Motivated, Self-Aware Agents NeurIPS 2018 Learning to Search in Long Documents Using Document Structure COLING 2018 Learning to Teach ICLR 2018 Learning under Misspecified Objective Spaces CoRL 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Leveraging Qualitative Reasoning to Improve SFL IJCAI 2018 LIA: A Natural Language Programmable Personal Assistant EMNLP 2018 Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain EMNLP 2018 Machine Theory of Mind ICML 2018 Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction EMNLP 2018 Marathon Race Planning: A Case-Based Reasoning Approach IJCAI 2018 Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent ICLR 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems ACL 2018 Memory Augmented Control Networks ICLR 2018 Model-Ensemble Trust-Region Policy Optimization ICLR 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018 Modular meta-learning CoRL 2018 Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation CoRL 2018 NerveNet: Learning Structured Policy with Graph Neural Networks ICLR 2018 Network Global Testing by Counting Graphlets ICML 2018