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Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A1
RLlib: Abstractions for Distributed Reinforcement Learning
In Reinforcement Learning 14
Eric Liang · Richard Liaw · Robert Nishihara · Philipp Moritz · Roy Fox · Ken Goldberg · Joseph E Gonzalez · Michael Jordan · Ion Stoica
[ PDF] 
Oral
Fri Jul 13 04:50 PM -- 05:10 PM (KST) @ A1
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
In Reinforcement Learning 14
Lasse Espeholt · Hubert Soyer · Remi Munos · Karen Simonyan · Vlad Mnih · Tom Ward · Yotam Doron · Vlad Firoiu · Tim Harley · Iain Dunning · Shane Legg · Koray Kavukcuoglu
[ PDF] 
Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A1
Mix & Match - Agent Curricula for Reinforcement Learning
In Reinforcement Learning 14
Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu
[ PDF] 
Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A1
Learning to Explore via Meta-Policy Gradient
In Reinforcement Learning 14
Tianbing Xu · Qiang Liu · Liang Zhao · Jian Peng
[ PDF]