Yijie Guo

Ph.D. Candidate in Computer Science & Engineering

University of Michigan, Ann Arbor

Biography

I am currently a Ph.D student in University of Michigan, rising to my fifth year, under supervison of Prof. Honglak Lee. My research interest lies in deep reinforcement learning, especially balancing the exploration and exploitation in difficult domains, and representation learning to improve sample efficiency and performance of RL algorithms.

Interests

Reinforcement Learning
Deep Learning
Representation Learning

Education

Ph.D. in Computer Science & Engineering, 2017 - Present
University of Michigan, Ann Arbor
BS in Math, BS in Data Science, 2017
University of Michigan, Ann Arbor

Yijie Guo

Ph.D. Candidate in Computer Science & Engineering

University of Michigan, Ann Arbor

Biography

Interests

Education

Featured Publications

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

Batch Reinforcement Learning through Continuation Method

Predictive Information Accelerates Learning in RL

Memory-Based Trajectory-Conditioned Policies for Learning from Sparse Rewards

Generative Adversarial Self-Imitation Learning

Contingency-Aware Exploration in Reinforcement Learning

Self-Imitation Learning

Unsupervised Discovery of Object Landmarks as Structural Representations

Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision