Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. | 0 | 0.34 | 2022 |
Learning Riemannian Manifolds For Geodesic Motion Skills | 1 | 0.37 | 2021 |
Differentiable Trust Region Layers for Deep Reinforcement Learning. | 0 | 0.34 | 2021 |
Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation | 0 | 0.34 | 2021 |
Bayesian Context Aggregation for Neural Processes. | 0 | 0.34 | 2021 |
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. | 1 | 0.41 | 2021 |
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. | 0 | 0.34 | 2020 |
Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master. | 1 | 0.37 | 2020 |
Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization | 1 | 0.34 | 2020 |
Next-Best-Sense: A Multi-Criteria Robotic Exploration Strategy for RFID Tags Discovery. | 1 | 0.63 | 2020 |
Haptic-Guided Shared Control Grasping: Collision-Free Manipulation | 0 | 0.34 | 2020 |
Learning Kalman Network: A deep monocular visual odometry for on-road driving. | 2 | 0.38 | 2019 |
Towards Fine Grained Network Flow Prediction. | 0 | 0.34 | 2018 |