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David Ha — most-cited papers & profile · Reinforcement Learning
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overview
David Ha
13
papers ·
2234
citations ·
0
h-index
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Most-cited papers
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017 · 645 citations
Recurrent World Models Facilitate Policy Evolution
2018 · 411 citations
Learning Latent Dynamics for Planning from Pixels
2018 · 368 citations
World Models
2018 · 180 citations
Neuroevolution of Self-Interpretable Agents
2020 · 119 citations
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
2019 · 9 citations
Reinforcement Learning for Improving Agent Design
2018
Top co-authors
Jürgen Schmidhuber
· 2
Alexander Pritzel
· 1
Andrei A. Rusu
· 1
C. Daniel Freeman
· 1
Chrisantha Fernando
· 1
Dylan Banarse
· 1
Honglak Lee
· 1
Ian Fischer
· 1
Timothy Lillicrap
· 1
Yujin Tang
· 1
Topics
Model-Based RL
Exploration
Meta-RL
Value-Based
Game AI
Policy Gradient