Marco Pleines

According to our database, Marco Pleines authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards an AI-driven open-core farm management system with economic, ecological, and social impact.

Marco Pleines, Lucas Dahl, Frank Zimmer, Bettina Weber, Simon Maike, Tim Redick, Josef Franko

Proceedings of the 46. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2026

2025

Playing Pokémon Red via Deep Reinforcement Learning.

Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden

CoRR, February, 2025

Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents.

Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss

J. Mach. Learn. Res., 2025

Pokémon Red via Reinforcement Learning.

Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden

Proceedings of the IEEE Conference on Games, 2025

2023

Memory-based deep reinforcement learning in endless imperfect information games.

Marco Pleines

PhD thesis, 2023

Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes.

Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss

CoRR, 2023

Memory Gym: Partially Observable Challenges to Memory-Based Agents.

Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization.

Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss

CoRR, 2022

Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks.

Jonas Schumacher, Marco Pleines

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

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, Roman Kalkreuth, Frank Zimmer, Mike Preuss

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2020

Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.

Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer

Proceedings of the IEEE Conference on Games, 2020

2019

Action Spaces in Deep Reinforcement Learning to Mimic Human Input Devices.

Marco Pleines, Frank Zimmer, Vincent-Pierre Berges

Proceedings of the IEEE Conference on Games, 2019