List of works - Marc Peter Deisenroth

A Brief Survey of Deep Reinforcement Learning ⬇️

academic article

Analytic moment-based Gaussian process filtering

Approximate dynamic programming with Gaussian processes

Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-Up

scientific article published in 2017

Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering

scientific article published in 2018

Bayesian Optimization with Dimension Scheduling: Application to Biological Systems

scientific article published in 2016

Doubly Stochastic Variational Inference for Deep Gaussian Processes ⬇️

scientific article published in January 2017

Expectation Propagation in Gaussian Process Dynamical Systems ⬇️

scientific article published in January 2012

Feedback error learning for rhythmic motor primitives

Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle

Gaussian Process Conditional Density Estimation ⬇️

Gaussian Process Domain Experts for Modeling of Facial Affect

scientific article

Gaussian Processes for Data-Efficient Learning in Robotics and Control ⬇️

scientific article

Gaussian process dynamic programming

Identification of Gaussian Process State Space Models ⬇️

scientific article published in January 2017

Learning Deep Belief Networks from Non-stationary Streams

article by Roberto Calandra et al published 2012 in Lecture Notes in Computer Science

Matérn Gaussian Processes on Riemannian Manifolds ⬇️

scientific article published in November 2020

Maximizing acquisition functions for Bayesian optimization ⬇️

Model-based imitation learning by probabilistic trajectory matching

Neural Embeddings of Graphs in Hyperbolic Space ⬇️

Orthogonally Decoupled Variational Gaussian Processes ⬇️

Probabilistic Active Meta-Learning ⬇️