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31 Results
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Poster
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Mon 18:30 |
Task-based End-to-end Model Learning in Stochastic Optimization Priya Donti · J. Zico Kolter · Brandon Amos |
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Poster
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Mon 18:30 |
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models Caglar Gulcehre · Francis Dutil · Adam Trischler · Yoshua Bengio |
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Poster
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Mon 18:30 |
Hybrid Reward Architecture for Reinforcement Learning Harm Van Seijen · Mehdi Fatemi · Romain Laroche · Joshua Romoff · Tavian Barnes · Jeffrey Tsang |
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Poster
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Wed 18:30 |
Multi-View Decision Processes: The Helper-AI Problem Christos Dimitrakakis · David Parkes · Goran Radanovic · Paul Tylkin |
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Poster
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Tue 18:30 |
Hindsight Experience Replay Marcin Andrychowicz · Filip Wolski · Alex Ray · Jonas Schneider · Rachel Fong · Peter Welinder · Bob McGrew · Josh Tobin · OpenAI Pieter Abbeel · Wojciech Zaremba |
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Poster
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Wed 18:30 |
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs Sanjiban Choudhury · Shervin Javdani · Siddhartha Srinivasa · Sebastian Scherer |
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Poster
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Tue 18:30 |
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus · David Hsu · Wee Sun Lee |
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Poster
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Wed 18:30 |
Distral: Robust multitask reinforcement learning Yee Teh · Victor Bapst · Wojciech Czarnecki · John Quan · James Kirkpatrick · Raia Hadsell · Nicolas Heess · Razvan Pascanu |
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Poster
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Mon 18:30 |
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine |
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Poster
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Mon 18:30 |
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Yunzhu Li · Jiaming Song · Stefano Ermon |
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Poster
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Mon 18:30 |
Shallow Updates for Deep Reinforcement Learning Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor |
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Poster
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Wed 18:30 |
Regret Minimization in MDPs with Options without Prior Knowledge Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Emma Brunskill |