Daan Wierstra

Computer Science · Physical Sciences

46h-index64.7kcitations73works4.52yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Reinforcement Learning in Robotics(30), Evolutionary Algorithms and Applications(15), Neural Networks and Applications(10), Generative Adversarial Networks and Image Synthesis(10), Metaheuristic Optimization Algorithms Research(9)

Publications73 total

SIMA 2: A Generalist Embodied Agent for Virtual Worlds
arXiv (Cornell University)·2025Open Access
Scaling Instructable Agents Across Many Simulated Worlds
arXiv (Cornell University)·2024· 9 citedOpen Access
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
arXiv (Cornell University)·2019· 26 citedOpen Access
Towards Interpretable Reinforcement Learning Using Attention Augmented\n Agents
arXiv (Cornell University)·2019· 42 citedOpen Access
S3TA: A Soft, Spatial, Sequential, Top-Down Attention Model
2018· 2 cited
Neural scene representation and rendering
Science·2018· 532 cited
Relational recurrent neural networks
arXiv (Cornell University)·2018· 27 citedOpen Access
Relational inductive biases, deep learning, and graph networks
arXiv (Cornell University)·2018· 2.4k citedOpen Access
Learning to Search with MCTSnets
arXiv (Cornell University)·2018· 28 citedOpen Access
Learning and Querying Fast Generative Models for Reinforcement Learning
arXiv (Cornell University)·2018· 70 citedOpen Access
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
arXiv (Cornell University)·2017· 5 citedOpen Access
Imagination-Augmented Agents for Deep Reinforcement Learning
arXiv (Cornell University)·2017· 210 citedOpen Access
Imagination-Augmented Agents for Deep Reinforcement Learning
arXiv (Cornell University)·2017· 163 citedOpen Access
Learning model-based planning from scratch
arXiv (Cornell University)·2017· 78 citedOpen Access
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
arXiv (Cornell University)·2017· 41 citedOpen Access
Recurrent Environment Simulators
arXiv (Cornell University)·2017· 105 citedOpen Access
Recurrent Environment Simulators
International Conference on Learning Representations·2017· 26 cited
Neural Episodic Control
arXiv (Cornell University)·2017· 92 citedOpen Access
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
arXiv (Cornell University)·2017· 643 citedOpen Access
Building machines that learn and think for themselves
Behavioral and Brain Sciences·2017· 55 cited
page 1 of 4Next →

Frequent Co-authors

Danilo Jimenez Rezende(16), Jürgen Schmidhuber(12), Karol Gregor(10), Ivo Danihelka(8), David Silver(7), Demis Hassabis(7), Nicolas Heess(7), Oriol Vinyals(7), Charles Blundell(7), Tom Schaul(7), Koray Kavukcuoglu(6), Timothy Lillicrap(6), Théophane Weber(6), Alexander Pritzel(5), Shakir Mohamed(5), Peter Battaglia(5), Frederic Besse(5), David Reichert(5), Lars Buesing(5), Yi Sun(5)