Andreas Krause
las.ethz.ch
0000-0001-7260-9673
ETH Zurich
314 papers found
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Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Interactively Learning Preference Constraints in Linear Bandits
Constrained Policy Optimization via Bayesian World Models
Active Exploration for Inverse Reinforcement Learning
Supervised Training of Conditional Monge Maps
Neural Contextual Bandits without Regret
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Meta-Learning Priors for Safe Bayesian Optimization
Automatic Termination for Hyperparameter Optimization
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Graph Neural Network Bandits
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Adaptive Gaussian Process Change Point Detection
Active Bayesian Causal Inference
Learning Long-Term Crop Management Strategies with CyclesGym
Proximal Optimal Transport Modeling of Population Dynamics
Amortized Inference for Causal Structure Learning
The Dynamics of Riemannian Robbins-Monro Algorithms
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