3 papers
cs.RO2025
Accelerating Real-World Overtaking in F1TENTH Racing Employing Reinforcement Learning Methods
Emily Steiner, Daniel van der Spuy, Futian Zhou +3
While autonomous racing performance in Time-Trial scenarios has seen significant progress and development, autonomous wheel-to-wheel racing and overtaking are still severely limite…
cs.RO2024
Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper
Elizabeth Cutler, Yuning Xing, Tony Cui +8
Reinforcement Learning (RL) training is predominantly conducted in cost-effective and controlled simulation environments. However, the transfer of these trained models to real-worl…
cs.AI2024
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Valencia, Henry Williams, Yuning Xing +3
Reinforcement Learning (RL) has been widely used to solve tasks where the environment consistently provides a dense reward value. However, in real-world scenarios, rewards can ofte…