Reinforcement Learning

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 End-to-End Reinforcement Learning for Automatic Taxonomy Induction ACL 2018 Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines CVPR 2018 Evolution-Guided Policy Gradient in Reinforcement Learning NeurIPS 2018 Evolved Policy Gradients NeurIPS 2018 Fast deep reinforcement learning using online adjustments from the past NeurIPS 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning NeurIPS 2018 Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NeurIPS 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CoRL 2018 Interactive Grounded Language Acquisition and Generalization in a 2D World ICLR 2018 Iterative Value-Aware Model Learning NeurIPS 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NeurIPS 2018 Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning EMNLP 2018 Learning Abstract Options NeurIPS 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018 Learning Temporal Point Processes via Reinforcement Learning NeurIPS 2018 Learning to Exploit Stability for 3D Scene Parsing NeurIPS 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Navigate in Cities Without a Map NeurIPS 2018 Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning NeurIPS 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018