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Workshop
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Sat 16:50
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POSTER: Power-law temporal discounting over a logarithmically compressed timeline for scale invariant reinforcement learning
Zoran Tiganj
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Workshop
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Sat 8:00
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Hierarchical Reinforcement Learning
Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa
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Spotlight
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Wed 15:30
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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba
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Poster
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Wed 18:30
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Natural Value Approximators: Learning when to Trust Past Estimates
Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul
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Symposium
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Thu 14:00
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Deep Reinforcement Learning
Pieter Abbeel · Yan Duan · David Silver · Satinder Singh · Junhyuk Oh · Rein Houthooft
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Poster
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Tue 18:30
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Optimistic posterior sampling for reinforcement learning: worst-case regret bounds
Shipra Agrawal · Randy Jia
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Poster
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Tue 18:30
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Minimal Exploration in Structured Stochastic Bandits
Richard Combes · Stefan Magureanu · Alexandre Proutiere
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Workshop
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Fri 9:00
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Pieter Abbeel: Reducing Data Needs for Real-World Reinforcement Learning
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Poster
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Wed 18:30
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Generalizing GANs: A Turing Perspective
Roderich Gross · Yue Gu · Wei Li · Melvin Gauci
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Demonstration
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Wed 19:00
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MAgent: A Many-Agent Reinforcement Learning Research Platform for Artificial Collective Intelligence
Lianmin Zheng · Jiacheng Yang · Han Cai · Weinan Zhang · Jun Wang · Yong Yu
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Poster
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Mon 18:30
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Task-based End-to-end Model Learning in Stochastic Optimization
Priya Donti · J. Zico Kolter · Brandon Amos
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Workshop
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Fri 16:45
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Learning Against Non-Stationary Agents with Opponent Modeling & Deep Reinforcement Learning
Richard Everett
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