RNN Symposium 2016: Risto Miikkulainen - Scaling up Deep Learning through Neuroevolution
RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms
RNN Symposium 2016: Nal Kalchbrenner - Generative Modelling as Sequence Learning
RNN Symposium 2016: Li Deng - Three cool topics on RNN
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers
RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories
Risto Miikkulainen: Evolutionary Surrogate-assisted Prescription
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
Risto Miikkulainen: What are "Other" Minds? Neuroevoloution of Past, Present & Future Minds
Risto Miikkulainen- Sentient- Discovering Novel Solutions
RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems
The Biologically-Inspired Algorithms No One is Talking About (Risto Miikkulainen Interview)
The Evolution of Evolutionary AI with Risto Miikkulainen - #367
problemreduction
Surrogate Optimization (Risto Miikkulainen)
Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - #47
BitHacks Speaker Series I: Session II | Professor Risto Miikkulainen
My American Dream: Risto Miikkulainen - Artificial Intelligence Understood
