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Affinity Workshop
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Mon 10:40 |
Spatial Attention Adapted to a LSTM Architecture with Frame Selection for Human Action Recognition in Videos Carlos Ismael Orozco · María Elena Buemi · Julio Jacobo Berlles |
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Oral
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Tue 5:00 |
BORE: Bayesian Optimization by Density-Ratio Estimation Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos |
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Oral
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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 |
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Oral
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Tue 5:00 |
Phasic Policy Gradient Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman |
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Spotlight
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Tue 5:20 |
Reinforcement Learning with Prototypical Representations Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto |
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Spotlight
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Tue 5:20 |
Consistent Nonparametric Methods for Network Assisted Covariate Estimation Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar |
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Spotlight
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Tue 5:25 |
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han · Youngchul Sung |
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Spotlight
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Tue 5:30 |
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel |
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Spotlight
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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 |
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Spotlight
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Tue 5:35 |
Unsupervised Learning of Visual 3D Keypoints for Control Boyuan Chen · Pieter Abbeel · Deepak Pathak |
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Spotlight
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Tue 5:35 |
Preferential Temporal Difference Learning Nishanth Anand · Doina Precup |
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Spotlight
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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 |