引用次数
引用: 315
H-指数: 6
I10-指数 : 4
出版物: 17
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
Scott Niekum , Supawit Chockchowwat , Caleb Chuck
arXiv: Learning
4
2019
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Anca Dragan , Kevin Jamieson , Sanjay Krishnan , Jeffrey Mahler
arXiv: Robotics
74
2016
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
Michael Laskey , Jonathan Lee , Caleb Chuck , David Gealy
conference on automation science and engineering 827 -834
84
2016
Statistical data cleaning for deep learning of automation tasks from demonstrations
Caleb Chuck , Michael Laskey , Sanjay Krishnan , Ruta Joshi
2017 13th IEEE Conference on Automation Science and Engineering (CASE) 1142 -1149
15
2017
Mitigating causal confusion in driving agents via gaze supervision
Abhijat Biswas , Badal Arun Pardhi , Caleb Chuck , Jarrett Holtz
Aligning Robot Representations with Humans workshop@ Conference on Robot Learning
3
2022
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.
Ajinkya Jain , Rudolf Lioutikov , Caleb Chuck , Scott Niekum
arXiv: Robotics
38
2020
Automated Discovery of Functional Actual Causes in Complex Environments
Caleb Chuck , Sankaran Vaidyanathan , Stephen Giguere , Amy Zhang
arXiv preprint arXiv:2404.10883
2024
Granger-Causal Hierarchical Skill Discovery
Caleb Chuck , Kevin Black , Aditya Arjun , Yuke Zhu
arXiv preprint arXiv:2306.09509
3
2023
Granger Causal Interaction Skill Chains
Caleb Chuck , Kevin Black , Aditya Arjun , Yuke Zhu
Transactions on Machine Learning Research
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
Caleb Chuck , Carl Qi , Michael J Munje , Shuozhe Li
arXiv preprint arXiv:2405.03113
2024
Learning Action-based Representations Using Invariance
Max Rudolph , Caleb Chuck , Kevin Black , Misha Lvovsky
Reinforcement Learning Conference 2024; arXiv preprint arXiv:2403.16369
2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets
Harshit Sikchi , Caleb Chuck , Amy Zhang , Scott Niekum
arXiv preprint arXiv:2406.08805
2024
Gaze Supervision for Mitigating Causal Confusion in Driving Agents.
Abhijat Biswas , Badal Arun Pardhi , Caleb Chuck , Jarrett Holtz
AAMAS 2159 -2161
2024
SkiLD: Unsupervised Skill Discovery Guided by Local Dependencies
Zizhao Wang , Jiaheng Hu , Caleb Chuck , Stephen Chen
Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning Conference 2024
2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Zizhao Wang , Jiaheng Hu , Caleb Chuck , Stephen Chen
arXiv preprint arXiv:2410.18416
2024
A Dual Approach to Imitation Learning from Observations with Suboptimal Offline Datasets
Harshit Sikchi , Caleb Chuck , Amy Zhang , Scott Niekum
Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning Conference 2024