Robotics

Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019 Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks CVPR 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning ICML 2019 Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Interspeech 2019 SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019 Structured agents for physical construction ICML 2019 Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search IJCAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Teaching Robots to Interact with Humans in a Smart Environment IJCAI 2019 The Expected-Length Model of Options IJCAI 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Option Keyboard: Combining Skills in Reinforcement Learning NeurIPS 2019 Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NeurIPS 2019 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019 Trajectory Optimization for Cable-Driven Soft Robot Locomotion RSS 2019 Understanding Teacher Gaze Patterns for Robot Learning CoRL 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots JMLR 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation RSS 2019 When to Trust Your Model: Model-Based Policy Optimization NeurIPS 2019 When to use parametric models in reinforcement learning? NeurIPS 2019 AirDialogue: An Environment for Goal-Oriented Dialogue Research EMNLP 2018 Alternating-Stereo VINS: Observability Analysis and Performance Evaluation CVPR 2018 A Lyapunov-based Approach to Safe Reinforcement Learning NeurIPS 2018