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Oral
Wed Jul 11 06:00 PM -- 06:20 PM (KST) @ Victoria
DiCE: The Infinitely Differentiable Monte Carlo Estimator
In Deep Learning (Neural Network Architectures) 1
Jakob Foerster · Gregory Farquhar · Maruan Al-Shedivat · Tim Rocktäschel · Eric Xing · Shimon Whiteson
[ PDF]  [ Video] 
Oral
Wed Jul 11 06:20 PM -- 06:30 PM (KST) @ Victoria
Learning to search with MCTSnets
In Deep Learning (Neural Network Architectures) 1
Arthur Guez · Theophane Weber · Ioannis Antonoglou · Karen Simonyan · Oriol Vinyals · Daan Wierstra · Remi Munos · David Silver
[ PDF]  [ Video] 
Oral
Wed Jul 11 06:30 PM -- 06:40 PM (KST) @ Victoria
Differentiable plasticity: training plastic neural networks with backpropagation
In Deep Learning (Neural Network Architectures) 1
Thomas Miconi · Kenneth Stanley · Jeff Clune
[ PDF]  [ Video] 
Oral
Wed Jul 11 06:40 PM -- 06:50 PM (KST) @ Victoria
TACO: Learning Task Decomposition via Temporal Alignment for Control
In Deep Learning (Neural Network Architectures) 1
Kyriacos Shiarlis · Markus Wulfmeier · Sasha Salter · Shimon Whiteson · Ingmar Posner
[ PDF]  [ Video] 
Oral
Wed Jul 11 06:50 PM -- 07:00 PM (KST) @ Victoria
Graph Networks as Learnable Physics Engines for Inference and Control
In Deep Learning (Neural Network Architectures) 1
Alvaro Sanchez-Gonzalez · Nicolas Heess · Jost Springenberg · Josh Merel · Martin Riedmiller · Raia Hadsell · Peter Battaglia
[ PDF]  [ Video]