imitation learning

TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018 Task-Embedded Control Networks for Few-Shot Imitation Learning CoRL 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING ICLR 2018 Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control ICML 2018 Verifiable Reinforcement Learning via Policy Extraction NeurIPS 2018 Zero-Shot Visual Imitation ICLR 2018 Adaptive Information Gathering via Imitation Learning RSS 2017 CARLA: An Open Urban Driving Simulator CoRL 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Coordinated Multi-Agent Imitation Learning ICML 2017 DART: Noise Injection for Robust Imitation Learning CoRL 2017 DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CoRL 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017 Gradient-free Policy Architecture Search and Adaptation CoRL 2017 Imitation learning for structured prediction in natural language processing EACL 2017 Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences CoRL 2017 Learning from Demonstrations with High-Level Side Information IJCAI 2017 Learning Heuristic Search via Imitation CoRL 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 2017 Multimodal Storytelling via Generative Adversarial Imitation Learning IJCAI 2017 One-Shot Imitation Learning NeurIPS 2017 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017