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12 Results
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Poster
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Tue 9:00 |
Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk · Timothy Hospedales · massimiliano pontil |
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Spotlight
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Tue 19:35 |
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian · Suraj Nair · Frederik Ebert · Sudeep Dasari · Benjamin Eysenbach · Chelsea Finn · Sergey Levine |
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Spotlight
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Thu 3:35 |
Quantifying Differences in Reward Functions Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike |
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Poster
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Tue 9:00 |
Quantifying Differences in Reward Functions Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike |
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Poster
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Wed 1:00 |
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li · Rui Yang · Dijun Luo |
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Poster
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Wed 9:00 |
Faster Binary Embeddings for Preserving Euclidean Distances Jinjie Zhang · Rayan Saab |
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Poster
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Wed 1:00 |
Graph Edit Networks Benjamin Paassen · Daniele Grattarola · Daniele Zambon · Cesare Alippi · Barbara E Hammer |
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Poster
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Wed 9:00 |
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto · Philipp Becker · Vien A Ngo · Hanna Ziesche · Gerhard Neumann |
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Poster
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Mon 1:00 |
Wasserstein-2 Generative Networks Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev |
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Poster
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Wed 17:00 |
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian · Suraj Nair · Frederik Ebert · Sudeep Dasari · Benjamin Eysenbach · Chelsea Finn · Sergey Levine |
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Poster
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Mon 17:00 |
Improved Estimation of Concentration Under -Norm Distance Metrics Using Half Spaces Jack Prescott · Xiao Zhang · David Evans |
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Poster
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Mon 9:00 |
Primal Wasserstein Imitation Learning Robert Dadashi · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin |