47 citations · 157 across the 29 of their papers we have counts for
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cs.LG2021★ 2 cited
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning
Fabian Hart, Martin Waltz, Ostap Okhrin
We introduce a novel approach to dynamic obstacle avoidance based on Deep Reinforcement Learning by defining a traffic type independent environment with variable complexity. Fillin…
cs.RO2021★ 47 cited
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator
Dianzhao Li, Ostap Okhrin
In the autonomous driving field, fusion of human knowledge into Deep Reinforcement Learning (DRL) is often based on the human demonstration recorded in a simulated environment. Thi…
cs.LG2021★ 20 cited
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
We propose and validate a novel car following model based on deep reinforcement learning. Our model is trained to maximize externally given reward functions for the free and car-fo…