most citedMulti-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.RO2026★ 1 cited

Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability

Lingheng Meng, Rob Gorbet, Michael Burke +1

Deep Reinforcement Learning (DRL) has made considerable advances in simulated and physical robot control tasks, especially when problems admit a fully observed Markov Decision Proc…

cs.AI2025

Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences

Emmanuel Fashae, Michael Burke, Leimin Tian +2

Robotic systems for household object rearrangement often rely on latent preference models inferred from human demonstrations. While effective at prediction, these models offer limi…

cs.CV2025

A Benchmark for Cycling Close Pass Detection from Video Streams

Mingjie Li, Ben Beck, Tharindu Rathnayake +5

Cycling is a healthy and sustainable mode of transport. However, interactions with motor vehicles remain a key barrier to increased cycling participation. The ability to detect pot…