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74 Results
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Tutorial
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Sun 23:30 |
Deep Reinforcement Learning Through Policy Optimization Pieter Abbeel · John Schulman |
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Poster
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Mon 9:00 |
Optimistic Bandit Convex Optimization Scott Yang · Mehryar Mohri |
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Poster
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Mon 9:00 |
PAC Reinforcement Learning with Rich Observations Akshay Krishnamurthy · Alekh Agarwal · John Langford |
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Poster
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Tue 9:00 |
Optimistic Gittins Indices Eli Gutin · Vivek Farias |
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Poster
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Tue 9:00 |
Generative Adversarial Imitation Learning Jonathan Ho · Stefano Ermon |
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Poster
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Wed 9:00 |
Safe Policy Improvement by Minimizing Robust Baseline Regret Mohammad Ghavamzadeh · Marek Petrik · Yinlam Chow |
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Poster
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Tue 9:00 |
Linear Feature Encoding for Reinforcement Learning Zhao Song · Ronald Parr · Xuejun Liao · Lawrence Carin |
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Poster
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Mon 9:00 |
Improving PAC Exploration Using the Median Of Means Jason Pazis · Ronald Parr · Jonathan How |
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Poster
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Mon 9:00 |
Adaptive Skills Adaptive Partitions (ASAP) Daniel J Mankowitz · Timothy A Mann · Shie Mannor |
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Symposium
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Thu 5:00 |
Recurrent Neural Networks and Other Machines that Learn Algorithms Jürgen Schmidhuber · Sepp Hochreiter · Alex Graves · Rupesh K Srivastava |
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Poster
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Tue 9:00 |
Contextual semibandits via supervised learning oracles Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik |
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Poster
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Wed 9:00 |
Accelerating Stochastic Composition Optimization Mengdi Wang · Ji Liu · Ethan Fang |