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2020 – today
- 2024
[j1]Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek:
Imitation Learning from Observation through Optimal Transport. RLJ 4: 1911-1923 (2024)- 2023
- [c5]Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek:
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. ICC 2023: 2227-2232 - [c4]Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger:
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS 2023 - [i9]Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek
:
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. CoRR abs/2302.02025 (2023) - [i8]Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger:
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR abs/2306.02451 (2023) - [i7]Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek:
Imitation Learning from Observation through Optimal Transport. CoRR abs/2310.01632 (2023) - [i6]Wei-Di Chang, Francois Robert Hogan, David Meger, Gregory Dudek:
Generalizable Imitation Learning Through Pre-Trained Representations. CoRR abs/2311.09350 (2023) - 2022
- [i5]Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto, David Meger, Gregory Dudek:
IL-flOw: Imitation Learning from Observation using Normalizing Flows. CoRR abs/2205.09251 (2022) - 2020
- [c3]Karim Koreitem, Florian Shkurti, Travis Manderson, Wei-Di Chang, Juan Camilo Gamboa Higuera, Gregory Dudek:
One-Shot Informed Robotic Visual Search in the Wild. IROS 2020: 5800-5807 - [i4]Karim Koreitem, Florian Shkurti, Travis Manderson, Wei-Di Chang, Juan Camilo Gamboa Higuera, Gregory Dudek:
One-Shot Informed Robotic Visual Search in the Wild. CoRR abs/2003.10010 (2020)
2010 – 2019
- 2018
- [c2]Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI 2018: 3199-3206 - 2017
- [c1]Florian Shkurti, Wei-Di Chang, Peter Henderson, Md Jahidul Islam, Juan Camilo Gamboa Higuera, Jimmy Li, Travis Manderson, Anqi Xu, Gregory Dudek, Junaed Sattar:
Underwater multi-robot convoying using visual tracking by detection. IROS 2017: 4189-4196 - [i3]Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek:
Benchmark Environments for Multitask Learning in Continuous Domains. CoRR abs/1708.04352 (2017) - [i2]Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. CoRR abs/1709.06683 (2017) - [i1]Florian Shkurti, Wei-Di Chang, Peter Henderson, Md Jahidul Islam, Juan Camilo Gamboa Higuera, Jimmy Li, Travis Manderson, Anqi Xu, Gregory Dudek, Junaed Sattar:
Underwater Multi-Robot Convoying using Visual Tracking by Detection. CoRR abs/1709.08292 (2017)
Coauthor Index
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