David Ha
An AI researcher who co-authored the 2018 paper "World Models" with Jürgen Schmidhuber, introducing the concept of world models into the deep learning field.
Core Facts
The concept of world models was formally proposed by David Ha and Jürgen Schmidhuber in 2018.
The 2018 paper "World Models" by David Ha and Jürgen Schmidhuber formally introduced the concept of world models into the field of deep learning.
David Ha and Schmidhuber published the paper "World Models" in 2018, demonstrating how an agent can complete reinforcement learning training within dreams
Timeline (last 90 days)
AI Scientist v3 was released alongside the MASS paper, which describes a framework in which multiple agent instances collaborate, critique each other, and then converge on a research direction; v3 shifts its positioning from a single researcher executing a linear pipeline to multi-agent team collaboration.
Hypernetworks were formally proposed by David Ha et al. in 2016, with the core idea of using a small meta-network to output the weights of another target network
David Ha and Jürgen Schmidhuber proposed the 'World Models' framework in 2018, using VAE and RNN to build internal representations of environments.
David Ha and Jürgen Schmidhuber proposed the 'World Models' framework in 2018, using a variational autoencoder (VAE) and a recurrent neural network (RNN) to build an internal representation of the environment.
The paper "World Models" was published by David Ha and Jürgen Schmidhuber in 2018.
All Facts (8)
The concept of world models was formally proposed by David Ha and Jürgen Schmidhuber in 2018.
90%VerifiedThe 2018 paper "World Models" by David Ha and Jürgen Schmidhuber formally introduced the concept of world models into the field of deep learning.
75%VerifiedDavid Ha and Schmidhuber published the paper "World Models" in 2018, demonstrating how an agent can complete reinforcement learning training within dreams
75%VerifiedDavid Ha and Jürgen Schmidhuber proposed the 'World Models' framework in 2018, using VAE and RNN to build internal representations of environments.
65%UnverifiedHypernetworks were formally proposed by David Ha et al. in 2016, with the core idea of using a small meta-network to output the weights of another target network
50%UnverifiedDavid Ha and Jürgen Schmidhuber proposed the 'World Models' framework in 2018, using a variational autoencoder (VAE) and a recurrent neural network (RNN) to build an internal representation of the environment.
50%UnverifiedThe paper "World Models" was published by David Ha and Jürgen Schmidhuber in 2018.
50%UnverifiedAI Scientist v3 was released alongside the MASS paper, which describes a framework in which multiple agent instances collaborate, critique each other, and then converge on a research direction; v3 shifts its positioning from a single researcher executing a linear pipeline to multi-agent team collaboration.
50%