54 citations · 139 across the 18 of their papers we have counts for
4 papers · 1 filter
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Oier Mees, Markus Merklinger, Gabriel Kalweit +1
Key challenges for the deployment of reinforcement learning (RL) agents in the real world are the discovery, representation and reuse of skills in the absence of a reward function.…
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving
Maria Huegle, Gabriel Kalweit, Moritz Werling +1
The common pipeline in autonomous driving systems is highly modular and includes a perception component which extracts lists of surrounding objects and passes these lists to a high…
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
Gabriel Kalweit, Maria Huegle, Joschka Boedecker
In the past few years, off-policy reinforcement learning methods have shown promising results in their application for robot control. Deep Q-learning, however, still suffers from p…
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving
Maria Hügle, Gabriel Kalweit, Branka Mirchevska +2
In many real-world decision making problems, reaching an optimal decision requires taking into account a variable number of objects around the agent. Autonomous driving is a domain…