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Poster
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Tue 16:30 |
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning Hiroki Furuta · Tadashi Kozuno · Tatsuya Matsushima · Yutaka Matsuo · Shixiang (Shane) Gu |
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Poster
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Thu 0:30 |
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks Rong Zhu · Mattia Rigotti |
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Poster
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Thu 16:30 |
Robust Predictable Control Ben Eysenbach · Russ Salakhutdinov · Sergey Levine |
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Poster
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Wed 16:30 |
Finite Sample Analysis of Average-Reward TD Learning and Q-Learning Sheng Zhang · Zhe Zhang · Siva Theja Maguluri |
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Poster
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Tue 16:30 |
Information is Power: Intrinsic Control via Information Capture Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine |
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Poster
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Thu 8:30 |
Average-Reward Learning and Planning with Options Yi Wan · Abhishek Naik · Rich Sutton |
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Poster
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Thu 16:30 |
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees Gregory Dexter · Kevin Bello · Jean Honorio |
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Poster
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Tue 16:30 |
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah · Tom Zahavy · Matteo Hessel · Zhongwen Xu · Junhyuk Oh · Iurii Kemaev · Hado van Hasselt · David Silver · Satinder Singh |
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Workshop
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Mon 13:30 |
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software Chuan-Yung Tsai · Graham Taylor |
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Poster
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Tue 16:30 |
Towards Robust Bisimulation Metric Learning Mete Kemertas · Tristan Aumentado-Armstrong |
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Poster
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Thu 8:30 |
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken · Jakub Tomczak · Annette Ten Teije |
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Poster
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Thu 8:30 |
Collaborating with Humans without Human Data DJ Strouse · Kevin McKee · Matt Botvinick · Edward Hughes · Richard Everett |