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179 Results
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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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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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Poster
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Wed 9:00 |
How to train your MAML Antreas Antoniou · Harrison Edwards · Amos Storkey |
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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 |
Supervised Policy Update for Deep Reinforcement Learning Quan Vuong · Yiming Zhang · Keith Ross |
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Poster
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Wed 9:00 |
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams Mohammad Kachuee · Orpaz Goldstein · Kimmo Kärkkäinen · Sajad Darabi · Majid Sarrafzadeh |
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Poster
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Wed 9:00 |
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi · Chelsea Finn · Sergey Levine |
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Workshop
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Mon 13:40 |
Uncovering Surprising Behaviors in Reinforcement Learning via Worst-Case Analysis Avraham Ruderman |
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Workshop
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Mon 15:30 |
Deep Learning to Predict Student Outcomes |
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Poster
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Thu 9:00 |
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning Anusha Nagabandi · Ignasi Clavera · Simin Liu · Ronald Fearing · Pieter Abbeel · Sergey Levine · Chelsea Finn |
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Poster
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Wed 9:00 |
Soft Q-Learning with Mutual-Information Regularization Jordi Grau-Moya · Felix Leibfried · Peter Vrancx |
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Workshop
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Mon 8:20 |
Efficient off-policy meta-reinforcement learning via probabilistic context variables Kate Rakelly · Aurick Zhou |