Marco Pleines

15 papers A* 1C 5Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
Towards an AI-driven open-core farm management system with economic, ecological, and social impact.
GIL
Marco Pleines, Lucas Dahl, Frank Zimmer, Bettina Weber, Simon Maike, Tim Redick, Josef Franko
2025 J jnl
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents.
J. Mach. Learn. Res.
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2025 J jnl
Playing Pokémon Red via Deep Reinforcement Learning.
CoRR
Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden
2025 C conf
Pokémon Red via Reinforcement Learning.
CoG
Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden
2023 J jnl
Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes.
CoRR
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2023 A* conf
Memory Gym: Partially Observable Challenges to Memory-Based Agents.
ICLR
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2023 — —
Memory-based deep reinforcement learning in endless imperfect information games.
Marco Pleines
2022 J jnl
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization.
CoRR
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2022 C conf
Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks.
CoG
Jonas Schumacher, Marco Pleines
2022 J jnl
Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks.
CoRR
Jonas Schumacher, Marco Pleines
2022 C conf
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer.
CoG
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
2022 J jnl
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer.
CoRR
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
2020 C conf
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.
CoG
Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
2020 J jnl
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.
CoRR
Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
2019 C conf
Action Spaces in Deep Reinforcement Learning to Mimic Human Input Devices.
CoG
Marco Pleines, Frank Zimmer, Vincent-Pierre Berges