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Oral
Tue 5:00 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Spotlight
Tue 5:20 Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Spotlight
Tue 5:30 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Spotlight
Tue 5:30 Muesli: Combining Improvements in Policy Optimization
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Spotlight
Tue 5:35 Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Spotlight
Tue 5:35 Preferential Temporal Difference Learning
Nishanth Anand · Doina Precup
Spotlight
Tue 5:40 Imitation by Predicting Observations
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
Spotlight
Tue 5:40 On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Spotlight
Tue 6:20 Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Spotlight
Tue 6:35 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco R Ruiz · Liping Liu
Spotlight
Tue 6:45 Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Spotlight
Tue 7:20 Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak