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Thomas Schmied

  1. LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
    2025/04/22 by Thomas Schmied, Jörg Bornschein, Schmied, Thomas +7 · 5 voices · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  2. A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
    2024/10/29 by Thomas Schmied, Schmied, Thomas, Thomas Adler +16 · 2 voices · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #cs.AI #cs.LG
  3. Learning to Modulate pre-trained Models in RL
    2023/06/26 by Thomas Schmied, Schmied, Thomas, Markus Hofmarcher +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  4. Fast and Data-Efficient Training of Rainbow: an Experimental Study on\n Atari
    2021/11/19 by Dominik Schmidt, Schmidt, Dominik, Thomas Schmied +1 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Data Stream Mining Techniques
  5. Effective Distillation to Hybrid xLSTM Architectures
    2026/03/16 by Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7 · 2 voices · 1 citation
    #cs.LG