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Lista de obras de 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

artículo científico publicado en 2017

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

artículo científico publicado en 2018

Bayesian Optimization with Dimension Scheduling: Application to Biological Systems

artículo científico publicado en 2016

Doubly Stochastic Variational Inference for Deep Gaussian Processes ⬇️

artículo científico publicado en 2017

Expectation Propagation in Gaussian Process Dynamical Systems ⬇️

artículo científico publicado en 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

artículo científico publicado en 2017

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

artículo científico publicado en 2015

Gaussian process dynamic programming

Identification of Gaussian Process State Space Models ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2020

Probabilistic model-based imitation learning

Probabilistic movement modeling for intention inference in human–robot interaction

Queer In AI: A Case Study in Community-Led Participatory AI

artículo científico publicado en 2023

Real-time community detection in full social networks on a laptop

artículo científico publicado en 2018

Robust Filtering and Smoothing with Gaussian Processes

Stochastic Differential Equations with variational Wishart diffusions

artículo científico publicado en 2020

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