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105 Results
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Workshop
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Mon 9:30 |
Directions and challenges in multi-task reinforcement learning Katja Hofmann |
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Poster
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Wed 9:00 |
ProMP: Proximal Meta-Policy Search Jonas Rothfuss · Dennis Lee · Ignasi Clavera · Tamim Asfour · Pieter Abbeel |
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Poster
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Wed 9:00 |
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen · Yaodong Yang · Rui Luo · Jun Wang · Wei Pan |
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Poster
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Wed 14:30 |
Learning Self-Imitating Diverse Policies Tanmay Gangwani · Qiang Liu · Jian Peng |
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Poster
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Wed 9:00 |
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim · Sangwoo Moon · David Earl Hostallero · Wan Ju Kang · Taeyoung Lee · Kyunghwan Son · Yung Yi |
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Poster
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Wed 9:00 |
Hindsight policy gradients Paulo Rauber · Avinash Ummadisingu · Filipe Mutz · Jürgen Schmidhuber |
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Poster
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Wed 9:00 |
Emergent Coordination Through Competition SIQI LIU · Guy Lever · Josh Merel · Saran Tunyasuvunakool · Nicolas Heess · Thore Graepel |
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Poster
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Thu 9:00 |
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering Victor Zhong · Caiming Xiong · Nitish Shirish Keskar · richard socher |
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Poster
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Tue 9:00 |
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao · Zhizhen Zhao · Raquel Urtasun · Richard Zemel |
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Poster
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Tue 14:30 |
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Thomas Elsken · Jan Hendrik Metzen · Frank Hutter |
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Poster
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Wed 14:30 |
An analytic theory of generalization dynamics and transfer learning in deep linear networks Andrew Lampinen · Surya Ganguli |
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Poster
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Wed 9:00 |
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu · Yuandong Tian |