Deep RL Meets Structured Prediction

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Deep Reinforcement Learning Meets Structured Prediction

ICLR 2019 Workshop - May 6th 2019, New Orleans (USA)

Ernest N. Morial Convention Center, Room 02

Deep Reinforcement Learning (RL) has achieved successes on numerous tasks such as computer games, the game of Go, robotics, etc. Structured prediction aims at modeling highly dependent variables, which applies to a wide range of domains such as natural language processing, computer vision, computational biology, etc. In many cases, structured prediction can be viewed as a sequential decision making process, so a natural question is can we leverage the advances in deep RL to improve structured prediction?

This workshop will bring together experts in structured predictions and reinforcement learning. Specifically, it will provide an overview of existing approaches from various domains to distill generally applicable principles from their successes. We will also discuss the main challenges arising in this setting and outline potential directions for future progress. The target audience consists of researchers and practitioners in these areas. They include, but are not limited to, deep RL for: