3 papers
cs.LG2026
Intrinsic Vicarious Conditioning for Deep Reinforcement Learning
Rodney A Sanchez, Ferat Sahin, Alex Ororbia +1
Advancements in reinforcement learning have produced a variety of complex and useful intrinsic driving forces; crucially, these drivers operate under a direct conditioning paradigm…
cs.AI2025
Avoiding Death through Fear Intrinsic Conditioning
Rodney Sanchez, Ferat Sahin, Alexander Ororbia +1
Biological and psychological concepts have inspired reinforcement learning algorithms to create new complex behaviors that expand agents' capacity. These behaviors can be seen in t…
cs.RO2024
Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction
Sarthak Arora, Karthik Subramanian, Odysseus Adamides +1
This paper explores the use of 3D lidar in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were conducted to mimic a modern shop-floo…