Imitation Learning

Exploring Computational User Models for Agent Policy Summarization IJCAI 2019 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations ICML 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Hybrid system identification using switching density networks CoRL 2019 Imitating Latent Policies from Observation ICML 2019 Imitation Learning for Non-Autoregressive Neural Machine Translation ACL 2019 Imitation Learning from Observation AAAI 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NeurIPS 2019 Imitation Learning from Video by Leveraging Proprioception IJCAI 2019 Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks CoRL 2019 Learning from demonstration with model-based Gaussian process CoRL 2019 Learning from Trajectories via Subgoal Discovery NeurIPS 2019 Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling NeurIPS 2019 Learning Parametric Constraints in High Dimensions from Demonstrations CoRL 2019 Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations CoRL 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning to Plan with Logical Automata RSS 2019 LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019 Leveraging Experience in Lazy Search RSS 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019 Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning UAI 2019 Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions AAAI 2019