معرفی
Dennis Grinwald is a doctoral researcher at the Technical University of Berlin affiliated with the Berlin Institute for the Foundations of Learning and Data (BIFOLD). He holds a Master of Science in Computer Science from TU Berlin (2022) and focuses on machine learning applications in collaborative multiagent systems, distributed deep learning, and explainable AI. His technical work includes open-source projects like Hanabi game-solving with reinforcement learning, DQN-based Lunar Lander automation, and speech command prediction using LSTMs.
- M.Sc. in Computer Science (2022, TU Berlin)
- Current focus areas: Probabilistic ML, distributed learning architectures, and XAI
- Active GitHub contributor (22 repositories, 8 followers)
Notable projects:
- Hanabi multiagent reinforcement learning
- ML applications in natural sciences
- DQN for autonomous lunar lander environments
- LSTM-based speech command recognition
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