activity
20192026
most citedLearning from Suboptimal Demonstration via Self-Supervised Reward Regression

31 citations · 109 across the 28 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.HC2024

Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment

Kimberlee Chestnut Chang, Reed Jensen, Rohan Paleja +7

In cooperative training, humans within a team coordinate on complex tasks, building mental models of their teammates and learning to adapt to teammates' actions in real-time. To re…

cs.RO2024★ 1 cited

Faster Model Predictive Control via Self-Supervised Initialization Learning

Zhaoxin Li, Xiaoke Wang, Letian Chen +3

Model Predictive Control (MPC) is widely used in robot control by optimizing a sequence of control outputs over a finite-horizon. Computational approaches for MPC include determini…

cs.HC2024

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)

Isabelle Hurley, Rohan Paleja, Ashley Suh +2

As learned control policies become increasingly common in autonomous systems, there is increasing need to ensure that they are interpretable and can be checked by human stakeholder…

cs.RO2024★ 1 cited

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems

Rohan Paleja, Michael Munje, Kimberlee Chang +2

Collaborative robots and machine learning-based virtual agents are increasingly entering the human workspace with the aim of increasing productivity and enhancing safety. Despite t…

cs.CL2024★ 3 cited

Why Would You Suggest That? Human Trust in Language Model Responses

Manasi Sharma, Ho Chit Siu, Rohan Paleja +1

The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are…