Tim Seyde

Solving Continuous Control via Q-learning

Martin A. Riedmiller, Markus Wulfmeier, Wilko Schwarting, 2022, ICLR.

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space

S. Karaman, D. Rus, Wilko Schwarting, 2021, CoRL.

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation

G. Rosman, S. Karaman, Wilko Schwarting, 2023, CoRL.

Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution

Markus Wulfmeier, Wilko Schwarting, Tim Seyde, 2024, L4DC.