Colin Bellinger

Associate Professor, Computer Science, University of Ottawa

Joined

June 2020

Names

Colin Bellinger (Preferred)

Emails

****@nrc-cnrc.gc.ca (Confirmed)

****@uottawa.ca (Confirmed)

Personal Links

DBLP

Career & Education History

Associate Professor

Computer Science , University of Ottawa (uottawa.ca)

2025 – Present

Researcher

Digital Technologies , National Research Council Canada (nrc-cnrc.gc.ca)

2018 – 2025

Postdoc

Computer Science , University of Alberta (ualberta.ca)

2016 – 2018

PhD student

Computer Science , University of Ottawa (uottawa.ca)

2010 – 2016

Advisors, Relations & Conflicts

No relations added

Expertise

deep learning

2017 – Present

reinforcement learning

2017 – Present

machine learning

2010 – Present

Publications

Design Decisions that Matter: Modality, State, and Action Horizon in Imitation Learning
Brendan Chharawala, Joshua Li, Stephie Liu, Colin Bellinger, David Liu, Chang Shu, Yue Hu, Pengcheng Xi
- CoRL 2025 Robot Data Workshop
- Readers: Everyone
Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection
HUIYI WANG, Fahim Shahriar, Seyed Alireza Azimi, Gautham Vasan, A. Rupam Mahmood, Colin Bellinger
- CoRL 2024 Workshop MRM-D Poster
- Readers: Everyone
Vision-Based Grasping through Goal-Conditioned Masking
HUIYI WANG, Fahim Shahriar, Gautham Vasan, Seyed Alireza Azimi, A. Rupam Mahmood, Colin Bellinger
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood
- NeurIPS 2024 poster
- Readers: Everyone
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
Colin Bellinger, Mark Crowley, Isaac Tamblyn
- WANT@NeurIPS 2023 Poster
- Readers: Everyone
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn
- AI4Mat-2023 Poster
- Readers: Everyone
SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm
Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Khalid Almohammadi, Dmitry Chetverikov, Colin Bellinger
- 2020 (modified: 07 Nov 2022)
- IEEE Access 2020
- Readers: Everyone
Framework for extreme imbalance classification: SWIM - sampling with the majority class
Colin Bellinger, Shiven Sharma, Nathalie Japkowicz, Osmar R. Zaïane
- 2020 (modified: 07 Nov 2022)
- Knowl. Inf. Syst. 2020
- Readers: Everyone
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
- 2020 (modified: 07 Nov 2022)
- Canadian Conference on AI 2020
- Readers: Everyone

View all 32 publications

Co-Authors

View all 46 co-authors