16 citations · 23 across the 8 of their papers we have counts for
8 papers
Inference of Human-derived Specifications of Object Placement via Demonstration
Alex Cuellar, Ho Chit Siu, Julie A Shah
As robots' manipulation capabilities improve for pick-and-place tasks (e.g., object packing, sorting, and kitting), methods focused on understanding human-acceptable object configu…
In Pursuit of Predictive Models of Human Preferences Toward AI Teammates
Ho Chit Siu, Jaime D. Peña, Yutai Zhou +1
We seek measurable properties of AI agents that make them better or worse teammates from the subjective perspective of human collaborators. Our experiments use the cooperative card…
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
Ahmad Ahmad, Mehdi Kermanshah, Kevin Leahy +6
In this paper, we tackle the challenging problem of delayed rewards in reinforcement learning (RL). While Proximal Policy Optimization (PPO) has emerged as a leading Policy Gradien…
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
Kevin Leahy, Ho Chit Siu
Conveying human goals to autonomous systems (AS) occurs both when the system is being designed and when it is being operated. The design-step conveyance is typically mediated by ro…
STL: Surprisingly Tricky Logic (for System Validation)
Ho Chit Siu, Kevin Leahy, Makai Mann
Much of the recent work developing formal methods techniques to specify or learn the behavior of autonomous systems is predicated on a belief that formal specifications are interpr…
Maneuver Identification Challenge
Kaira Samuel, Vijay Gadepally, David Jacobs +8
AI algorithms that identify maneuvers from trajectory data could play an important role in improving flight safety and pilot training. AI challenges allow diverse teams to work tog…
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Ho Chit Siu, Jaime D. Pena, Edenna Chen +5
Deep reinforcement learning has generated superhuman AI in competitive games such as Go and StarCraft. Can similar learning techniques create a superior AI teammate for human-machi…
Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes
Ho Chit Siu, Victor Pankratius
Future space-based telescopes will leverage starshades as components that can be independently positioned. Starshades will adjust the light coming in from exoplanet host stars and…