2 papers
cs.RO2025
Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
Scott Jones, Liyou Zhou, Sebastian W. Pattinson
In visuomotor policy learning, the control policy for the robotic agent is derived directly from visual inputs. The typical approach, where a policy and vision encoder are trained…
cs.HC2024
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data
Saiful Khan, Scott Jones, Benjamin Bach +7
We present a method to create storytelling visualization with time series data. Many personal decisions nowadays rely on access to dynamic data regularly, as we have seen during th…