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91 Results
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Workshop
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Mon 13:20 |
Task-agnostic priors for reinforcement learning Karthik Narasimhan |
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Workshop
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Mon 10:00 |
Self-supervised object-centric representations for reinforcement learning Tejas Kulkarni |
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Poster
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Thu 9:00 |
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu · Anoop Korattikara Balan · Sergey Levine · Sergio Guadarrama |
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Poster
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Wed 9:00 |
Knowledge Flow: Improve Upon Your Teachers Iou-Jen Liu · Jian Peng · Alex Schwing |
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Poster
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Wed 9:00 |
Competitive experience replay Hao Liu · Alexander Trott · richard socher · Caiming Xiong |
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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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Workshop
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Mon 9:30 |
Directions and challenges in multi-task reinforcement learning Katja Hofmann |
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Poster
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Wed 9:00 |
Universal Successor Features Approximators Diana Borsa · Andre Barreto · John Quan · Daniel J. Mankowitz · Hado van Hasselt · Remi Munos · David Silver · Tom Schaul |
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Poster
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Wed 9:00 |
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach · Abhishek Gupta · Julian Ibarz · Sergey Levine |
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Poster
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Wed 9:00 |
Learning Actionable Representations with Goal Conditioned Policies Dibya Ghosh · Abhishek Gupta · Sergey Levine |
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Poster
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Tue 14:30 |
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Jonathan Uesato · Ananya Kumar · Csaba Szepesvari · Tom Erez · Avraham Ruderman · Keith Anderson · Krishnamurthy Dvijotham · Nicolas Heess · Pushmeet Kohli |
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Poster
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Wed 9:00 |
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov · Johannes Kirschner · Felix Berkenkamp · Andreas Krause |