On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. - Marco Pleines; Konstantin Ramthun; Yannik Wegener; Hendrik Meyer; Matthias Pallasch; Sebastian Prior; Jannik Drögemüller; Leon Büttinghaus; Thilo Röthemeyer; Alexander Kaschwig; Oliver Chmurzynski; Frederik Rohkrähmer; et al. (CoG, 2022)

Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization. - Marco Pleines; Matthias Pallasch; Frank Zimmer; Mike Preuss (CoRR, 2022)

Memory Gym: Partially Observable Challenges to Memory-Based Agents. - Marco Pleines; Matthias Pallasch; Frank Zimmer; Mike Preuss (ICLR, 2023)

Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes. - Marco Pleines; Matthias Pallasch; Frank Zimmer; Mike Preuss (CoRR, 2023)