Workshop
Reinforcement Learning Workshop
Doina Precup · Balaraman Ravindran · Pierre-Luc Bacon
Thu 10 Aug, 3:30 p.m. PDT
The workshop will contain presentations of late-breaking reinforcement learning results in all areas of the field, including deep reinforcement learning, exploration, transfer learning and using auxiliary tasks, theoretical result etc, as well as applications of reinforcement learning to various domains. A panel discussion on the most interesting and challenging current research directions will conclude the workshop.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
Thu 3:45 p.m. - 4:00 p.m.
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Introductory Remarks
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Talk
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🔗 |
Thu 4:00 p.m. - 4:30 p.m.
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Some experiments with learning hyperparameters, transfer, and multi-task leaning
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Talk
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Balaraman Ravindran 🔗 |
Thu 4:30 p.m. - 5:00 p.m.
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Talk
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Talk
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Chelsea Finn 🔗 |
Thu 5:00 p.m. - 5:30 p.m.
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Break
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Thu 5:30 p.m. - 6:00 p.m.
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Achieving Above-Human Performance on Ms. Pac-Man by Reward Decomposition
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Talk
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Harm van Seijen 🔗 |
Thu 6:00 p.m. - 6:30 p.m.
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Explorartion methods for options
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Talk
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Alessandro Lazaric 🔗 |
Thu 6:30 p.m. - 7:00 p.m.
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The effects of memory replay in reinforcement learning
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Talk
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Ruishan Liu 🔗 |
Thu 7:00 p.m. - 8:30 p.m.
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Lunch
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Thu 8:30 p.m. - 8:50 p.m.
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Asynchronous data aggregation for training end-to-end visual control networks
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Talk
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Mathew Monfort 🔗 |
Thu 8:50 p.m. - 9:10 p.m.
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On the reproducibility of policy gradient experiments
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Talk
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Riashat Islam 🔗 |
Thu 9:10 p.m. - 9:30 p.m.
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Reinforcement learning for the MALMO Minecraft challenge
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Talk
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Tudor Berariu 🔗 |
Thu 9:30 p.m. - 9:50 p.m.
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On the convergence of Tree backup and other reinforcement learning algorithms
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Talk
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Ahmed Touati 🔗 |
Thu 9:50 p.m. - 10:10 p.m.
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Transfer learning using successor state features
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Talk
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Lucas Lehnert 🔗 |
Thu 10:10 p.m. - 10:30 p.m.
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Coffee Break
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Thu 10:30 p.m. - 11:30 p.m.
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Panel Discussion
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Panel Discussion
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Balaraman Ravindran · Chelsea Finn · Alessandro Lazaric · Katja Hofmann · Marc Bellemare 🔗 |