4 citations · 17 across the 8 of their papers we have counts for
13 papers
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Yash Shukla, Christopher Thierauf, Ramtin Hosseini +2
Despite recent advances in Reinforcement Learning (RL), many problems, especially real-world tasks, remain prohibitively expensive to learn. To address this issue, several lines of…
An Augmented Reality Platform for Introducing Reinforcement Learning to K-12 Students with Robots
Ziyi Zhang, Samuel Micah Akai-Nettey, Adonai Addo +2
Interactive reinforcement learning, where humans actively assist during an agent's learning process, has the promise to alleviate the sample complexity challenges of practical algo…
AI-HRI 2021 Proceedings
Reuth Mirsky, Megan Zimmerman, Muneed Ahmad +10
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration since 2014. During that time, these symposi…
A Framework for Multisensory Foresight for Embodied Agents
Xiaohui Chen, Ramtin Hosseini, Karen Panetta +1
Predicting future sensory states is crucial for learning agents such as robots, drones, and autonomous vehicles. In this paper, we couple multiple sensory modalities with explorato…
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning
Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang
Robots frequently need to perceive object attributes, such as "red," "heavy," and "empty," using multimodal exploratory actions, such as "look," "lift," and "shake." Robot attribut…
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
Vasanth Sarathy, Daniel Kasenberg, Shivam Goel +2
Symbolic planning models allow decision-making agents to sequence actions in arbitrary ways to achieve a variety of goals in dynamic domains. However, they are typically handcrafte…