3 citations · 3 across the 4 of their papers we have counts for
5 papers
Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning
Everest Yang, Skye Thompson, George D. Konidaris
Adapting to changes in robot dynamics requires learning from new data without discarding experience that may still be useful. In continual model-based reinforcement learning (RL),…
Deformable State Estimation for Autonomous Surgical Tissue Retraction Under Partial Observability
Everest Yang, Skye Thompson, George D. Konidaris
Surgical tissue retraction requires effective manipulation planning under partial and noisy perception. We study state estimation for deformable tissue retraction, where only spars…
One-Shot Cross-Geometry Skill Transfer through Part Decomposition
Skye Thompson, Ondrej Biza, George Konidaris
Given a demonstration, a robot should be able to generalize a skill to any object it encounters-but existing approaches to skill transfer often fail to adapt to objects with unfami…
One-shot Imitation Learning via Interaction Warping
Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi +7
Imitation learning of robot policies from few demonstrations is crucial in open-ended applications. We propose a new method, Interaction Warping, for learning SE(3) robotic manipul…
Sample Efficient Robot Learning with Structured World Models
Tuluhan Akbulut, Max Merlin, Shane Parr +2
Reinforcement learning has been demonstrated as a flexible and effective approach for learning a range of continuous control tasks, such as those used by robots to manipulate objec…