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Oral
Wed Jul 11th 11:00 -- 11:20 AM @ Victoria
DiCE: The Infinitely Differentiable Monte Carlo Estimator
Jakob Foerster · Gregory Farquhar · Maruan Al-Shedivat · Tim Rockt√§schel · Eric Xing · Shimon Whiteson
Oral
Wed Jul 11th 11:20 -- 11:30 AM @ Victoria
Learning to search with MCTSnets
Arthur Guez · Theophane Weber · Ioannis Antonoglou · Karen Simonyan · Oriol Vinyals · Daan Wierstra · Remi Munos · David Silver
Oral
Wed Jul 11th 11:30 -- 11:40 AM @ Victoria
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi · Kenneth Stanley · Jeff Clune
Oral
Wed Jul 11th 11:40 -- 11:50 AM @ Victoria
TACO: Learning Task Decomposition via Temporal Alignment for Control
Kyriacos Shiarlis · Markus Wulfmeier · Sasha Salter · Shimon Whiteson · Herbert Ingmar Posner
Oral
Wed Jul 11th 11:50 AM -- 12:00 PM @ Victoria
Graph Networks as Learnable Physics Engines for Inference and Control
Alvaro Sanchez · Nicolas Heess · Jost Springenberg · Josh Merel · Martin Riedmiller · Raia Hadsell · Peter Battaglia