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View article: Collaborative Evolutionary Reinforcement Learning
Collaborative Evolutionary Reinforcement Learning Open
Deep reinforcement learning algorithms have been successfully applied to a range of challenging control tasks. However, these methods typically struggle with achieving effective exploration and are extremely sensitive to the choice of hype…
View article: Artificial Intelligence for Prosthetics - challenge solutions
Artificial Intelligence for Prosthetics - challenge solutions Open
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector. Top participants were invi…
View article: Conditional Graph Neural Processes: A Functional Autoencoder Approach
Conditional Graph Neural Processes: A Functional Autoencoder Approach Open
We introduce a novel encoder-decoder architecture to embed functional processes into latent vector spaces. This embedding can then be decoded to sample the encoded functions over any arbitrary domain. This autoencoder generalizes the recen…