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Seminar

Bayesian optimal experiment design (2 of 2)

This is the second of a two talks providing an introduction to Bayesian optimal experimental design (BOED) and how it relates to exploration …

Markus Semmler
Nov 26, 2020
Seminar

Bayesian optimal experiment design (1 of 2)

These two talks give an introduction to Bayesian optimal experimental design (BOED) and how it relates to exploration in reinforcement …

Markus Semmler
Nov 19, 2020
Seminar

Solving Schrödinger's equation with neural networks

In this work, we attempt to solve the Time Dependent Schrödinger Equation directly by placing a neural network ansatz on the solution and …

Omer Rochman
Simulation and AI
Nov 12, 2020
Seminar

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

Paper abstract: Model-free deep reinforcement learning algorithms have been shown to be capable of learning a wide range of robotic skills, …

Fabian Hainzl
Data Efficiency
Reinforcement Learning
Feb 14, 2019
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