Marco Pleines
Sonsbeck, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolMarco Pleines is a Machine Learning Lead with 11 years of experience bridging academic research and product-focused AI engineering, now leading ML at AI.Land GmbH. He holds a PhD in Artificial Intelligence from TU Dortmund and built his career researching memory-augmented deep reinforcement learning and LLM agents, applying architectures from CNNs and LSTMs to Transformers in PyTorch. Marco began tinkering with game AI in 2016 and has translated that curiosity into practical lab-building, industry collaborations (Unity, Blue Byte) and a track record of turning research prototypes into applied systems. Colleagues describe him as the kind of researcher who both publishes rigorous work and ships working agents, with a particular knack for memory mechanisms that improve long-horizon decision making. Based in Sonsbeck, Germany, he combines academic rigor (Magna Cum Laude PhD) with hands-on product experience in game and interactive AI contexts.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at TU Dortmund UniversityComputer and Information Systems, Computer and Information Systems at Ferris State UniversityMaster of Science - MS, Information Engineering and Computer Science, Master of Science - MS, Information Engineering and Computer Science at Rhine-Waal University
English, German
Github Skills (116)
proximal-policy-optimization10
python10
gymnasium10
deep-learning10
ml-agents10
c5110
lstm10
wandb10
deep-reinforcement-learning10
actor-critic10
unity3d10
tower10
gru10
recurrent10
reinforcement-learning10
Programming languages (8)
Github contributions (5)
MarcoMeter/recurrent-ppo-truncated-bptt
Jun 2021 - Nov 2022
Baseline implementation of recurrent PPO using truncated BPTT
Contributions:7 commits, 6 PRs, 24 pushes in 1 year 5 months
pytorchgrubpttrecurrencelstm
MarcoMeter/endless-memory-gym
Jul 2022 - Mar 2023
Challenging Memory-based Deep Reinforcement Learning Agents
Contributions:24 commits, 2 PRs, 72 pushes in 8 months
deep-reinforcement-learningbenchmarkgrugym-environmentimperfect-information
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