19 citations · 30 across the 5 of their papers we have counts for
5 papers
Hierarchies of Planning and Reinforcement Learning for Robot Navigation
Jan Wöhlke, Felix Schmitt, Herke van Hoof
Solving robotic navigation tasks via reinforcement learning (RL) is challenging due to their sparse reward and long decision horizon nature. However, in many navigation tasks, high…
Reward (Mis)design for Autonomous Driving
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf +2
This article considers the problem of diagnosing certain common errors in reward design. Its insights are also applicable to the design of cost functions and performance metrics mo…
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten +2
Maximum Causal Entropy (MCE) Inverse Optimal Control (IOC) has become an effective tool for modelling human behaviour in many control tasks. Its advantage over classic techniques f…
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten +2
Driver distraction strongly contributes to crash-risk. Therefore, assistance systems that warn the driver if her distraction poses a hazard to road safety, promise a great safety b…
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Michael Herman, Tobias Gindele, Jörg Wagner +2
Inverse Reinforcement Learning (IRL) describes the problem of learning an unknown reward function of a Markov Decision Process (MDP) from observed behavior of an agent. Since the a…