most citedMissing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2022★ 1 cited

Vessel-following model for inland waterways based on deep reinforcement learning

Fabian Hart, Ostap Okhrin, Martin Treiber

While deep reinforcement learning (RL) has been increasingly applied in designing car-following models in the last years, this study aims at investigating the feasibility of RL-bas…

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…