Keeping humans in the loop: Teaching via feedback in continuous action space environments I Sheidlower, A Moore, E Short 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
Environment guided interactive reinforcement learning: Learning from binary feedback in high-dimensional robot task environments I Sheidlower, ES Short, A Moore Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 2 | 2022 |
Online Behavior Modification for Expressive User Control of RL-Trained Robots I Sheidlower, M Murdock, E Bethel, RM Aronson, ES Short Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 1 | 2024 |
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks I Sheidlower, R Aronson, E Short Proceedings of the AAAI Symposium Series 2 (1), 192-197, 2023 | 1 | 2023 |
On the Effect of Robot Errors on Human Teaching Dynamics J Huang, I Sheidlower, RM Aronson, ES Short Proceedings of the 12th International Conference on Human-Agent Interaction …, 2024 | | 2024 |
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach I Sheidlower, R Aronson, ES Short arXiv preprint arXiv:2407.08065, 2024 | | 2024 |
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies I Sheidlower, E Bethel, D Lilly, RM Aronson, ES Short arXiv preprint arXiv:2406.13711, 2024 | | 2024 |
When Oracles Go Wrong: Using Preferences as a Means to Explore IS Sheidlower, ES Short Companion of the 2021 ACM/IEEE International Conference on Human-Robot …, 2021 | | 2021 |