Search Results for author:
Found 4 papers, 2 papers with code
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight
Our experiments in both simulated and real-world environments demonstrate that our approach achieves superior performance and robustness than IL or RL alone in navigating a quadrotor through a racing course using only visual information without explicit state estimation.
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
A central question in robotics is how to design a control system for an agile mobile robot.
Cracking Double-Blind Review: Authorship Attribution with Deep Learning
In this work, we present a transformer-based, neural-network architecture that only uses the text content and the author names in the bibliography to attribute an anonymous manuscript to an author.
Time-Optimal Planning for Quadrotor Waypoint Flight
However, this time allocation is a priori unknown and renders previous works incapable of producing truly time-optimal trajectories.
