Methods

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CoRL 2018 Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation CoRL 2018 IQA: Visual Question Answering in Interactive Environments CVPR 2018 Is Q-Learning Provably Efficient? NeurIPS 2018 Iterative Value-Aware Model Learning NeurIPS 2018 Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning EMNLP 2018 Jumper: Learning When to Make Classification Decision in Reading IJCAI 2018 Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach IJCAI 2018 Latent Space Policies for Hierarchical Reinforcement Learning ICML 2018 Learning Abstract Options NeurIPS 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Beam Search Policies via Imitation Learning NeurIPS 2018 Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018 Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018 Learning Deep Sketch Abstraction CVPR 2018 Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal CoRL 2018 Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018 Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018 Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018 Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NeurIPS 2018 Learning Policy Representations in Multiagent Systems ICML 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Safe Policies with Expert Guidance NeurIPS 2018