Taxonomy-Regularized Semantic Deep Convolutional Neural Networks. - Wonjoon Goo; Juyong Kim 002; Gunhee Kim; Sung Ju Hwang (ECCV (2), 2016)

Learning Multi-Step Robotic Tasks from Observation. - Wonjoon Goo; Scott Niekum (CoRR, 2018)

Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations. - Daniel S. Brown; Wonjoon Goo; Scott Niekum (CoRL, 2019)

Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations. - Daniel S. Brown; Wonjoon Goo; Prabhat Nagarajan; Scott Niekum (ICML, 2019)

One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video. - Wonjoon Goo; Scott Niekum (ICRA, 2019)

Ranking-Based Reward Extrapolation without Rankings. - Daniel S. Brown; Wonjoon Goo; Scott Niekum (CoRR, 2019)

Local Nonparametric Meta-Learning. - Wonjoon Goo; Scott Niekum (CoRR, 2020)

You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL. - Wonjoon Goo; Scott Niekum (CoRL, 2021)

Self-Supervised Online Reward Shaping in Sparse-Reward Environments. - Farzan Memarian; Wonjoon Goo; Rudolf Lioutikov; Scott Niekum; Ufuk Topcu (IROS, 2021)

Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL. - Wonjoon Goo; Scott Niekum (CoRR, 2022)

A Ranking Game for Imitation Learning. - Harshit Sikchi; Akanksha Saran; Wonjoon Goo; Scott Niekum (Trans. Mach. Learn. Res., 2023)