81 citations · 175 across the 16 of their papers we have counts for
4 papers · 1 filter
Stein Variational Distributional Reinforcement Learning: Score-Guided Particles for Multivariate Return Distributions
Manuel Haußmann, Melih Kandemir
Decisions that weigh several reward signals against each other require the joint distribution of the return vector. Categorical critics scale exponentially in the reward dimension,…
Fitted Q-Iteration with Continuous Actions and Adaptive Data: Smoothed Coverage and Minimax Rates
Manuel Haußmann, Manuel Haussmann, Mustafa Mert Çelikok +1
Fitted Q-iteration (FQI) is well understood when the data come from a fixed distribution and the action set is finite, whereas value-based continuous control collects its data adap…
Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation
Manuel Haußmann, Ramon Winterhalder, Maria Ubiali
Reliable uncertainty quantification is essential for the use of machine learning in physics, where scientific discoveries depend on validated probabilistic statements. We provide a…
Distributional Active Inference
Abdullah Akgül, Gulcin Baykal, Manuel Haußmann +2
Optimal control of complex environments with robotic systems faces two complementary and intertwined challenges: efficient organization of sensory state information and far-sighted…