3 citations · 6 across the 7 of their papers we have counts for
7 papers
Self-organized free-flight arrival for urban air mobility
Martin Waltz, Ostap Okhrin, Michael Schultz
Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a sel…
Two-step dynamic obstacle avoidance
Fabian Hart, Martin Waltz, Ostap Okhrin
Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step arch…
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
Martin Waltz, Niklas Paulig, Ostap Okhrin
This paper proposes a realistic modularized framework for controlling autonomous surface vehicles (ASVs) on inland waterways (IWs) based on deep reinforcement learning (DRL). The f…
Spatial-temporal recurrent reinforcement learning for autonomous ships
Martin Waltz, Ostap Okhrin
This paper proposes a spatial-temporal recurrent neural network architecture for deep -networks that can be used to steer an autonomous ship. The network design makes it possibl…
Vulnerability-CoVaR: Investigating the Crypto-market
Martin Waltz, Abhay Kumar Singh, Ostap Okhrin
This paper proposes an important extension to Conditional Value-at-Risk (CoVaR), the popular systemic risk measure, and investigates its properties on the cryptocurrency market. Th…
Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing
Martin Waltz, Ostap Okhrin
Value-based reinforcement-learning algorithms have shown strong results in games, robotics, and other real-world applications. Overestimation bias is a known threat to those algori…
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…