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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 …
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 …
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 …
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, …