Daniel Wälchli

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Unconstrained Optimization

Bayesian Inference

Top Venues

SIAM J. Sci. Comput.

Publications

Daniel Wälchli, Pascal Weber, Petros Koumoutsakos
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning. CoRR (2023)
Rambod Mojgani, Daniel Wälchli, Yifei Guan, Petros Koumoutsakos, Pedram Hassanzadeh
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. CoRR (2023)
Pascal Weber, Daniel Wälchli, Mustafa Zeqiri, Petros Koumoutsakos
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning. CoRR (2022)
Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. CoRR (2020)
Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, Georgios Arampatzis, Xin Bian, Petros Koumoutsakos
Load Balancing in Large Scale Bayesian Inference. PASC (2020)
Georgios Arampatzis, Daniel Wälchli, Pascal Weber, Henri Rästas, Petros Koumoutsakos
(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics. PASC (2019)
Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos, Stephen Wu, Panagiotis E. Hadjidoukas, Petros Koumoutsakos
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. SIAM J. Sci. Comput. 40 (3) (2018)