29 citations · 55 across the 14 of their papers we have counts for
3 papers · 1 filter
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning
Sean Vaskov, Wilko Schwarting, Chris L. Baker
Reinforcement Learning (RL) for control has become increasingly popular due to its ability to learn rich feedback policies that take into account uncertainty and complex representa…
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde, Peter Werner, Wilko Schwarting +2
Recent reinforcement learning approaches have shown surprisingly strong capabilities of bang-bang policies for solving continuous control benchmarks. The underlying coarse action s…
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
Rahul Ahuja, Chris Baker, Wilko Schwarting
Scene flow estimation is a crucial component in the development of autonomous driving and 3D robotics, providing valuable information for environment perception and navigation. Des…