imitation learning

Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation CVPR 2020 Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020 Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020 Infinite-Horizon Differentiable Model Predictive Control ICLR 2020 Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020 Interactive Imitation Learning in State-Space CoRL 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NeurIPS 2020 Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020 Inverse Reinforcement Learning from a Gradient-based Learner NeurIPS 2020 Language-Conditioned Imitation Learning for Robot Manipulation Tasks NeurIPS 2020 Learning a Decision Module by Imitating Driver’s Control Behaviors CoRL 2020 Learning Agile Robotic Locomotion Skills by Imitating Animals RSS 2020 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning from Interventions: Human-robot interaction as both explicit and implicit feedback RSS 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Learning to Generalize for Sequential Decision Making EMNLP 2020 Learning to Interactively Learn and Assist AAAI 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NeurIPS 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning NeurIPS 2020 Offline Imitation Learning with a Misspecified Simulator NeurIPS 2020