Search Results for author:
Found 5 papers, 2 papers with code
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics.
Ranked #3 on
CARLA MAP Leaderboard
on CARLA
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
To our knowledge we are the first to present a successful RL agent handling such a complex task especially regarding the traffic light detection.
Ranked #9 on
Autonomous Driving
on CARLA Leaderboard
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
In the Arcade Learning Environment (ALE), small changes in environment parameters such as stochasticity or the maximum allowed play time can lead to very different performance.
End to End Vehicle Lateral Control Using a Single Fisheye Camera
Experiments are conducted on a custom dataset corresponding to more than 10000 km and 200 hours of open road driving.
End-to-End Race Driving with Deep Reinforcement Learning
We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding).
