Caleb Chuck
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. | Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum |
| 2024 | CoRL | A Dual Approach to Imitation Learning from Observations with Offline Datasets. | Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum |
| 2021 | ICRA | ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. | Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, Scott Niekum |
| 2020 | IROS | Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning. | Caleb Chuck, Supawit Chockchowwat, Scott Niekum |
| 2017 | ICRA | Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. | Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Ken Goldberg |