Conditional Neural Movement Primitives
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Deep Reinforcement Learning for Mobile Robot Navigation
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Pedestrian simulation as multi-objective reinforcement learning
Reinforcement learning for robot control using probability density estimations
WalkAbout – A net-based interactive multiuser 3D-environment for enhanced and engaging learning
Continual Reinforcement Learning in 3D Non-stationary Environments
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation
Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning
Benchmarking deep reinforcement learning for continous control
Speeding Up Optimization-based Motion Planning through Deep Learning
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Static Targets Recognition and Tracking Based on Millimeter Wave Radar